Publications


To retrieve a complete bibliography of our publications, join the group "Institute for Signal and Information Processing" at www.mendeley.com. Our publications are conveniently organized by publication status and type:


Published:

Books | Book Sections | Journals (Referred) | Journals (Misc) | Conferences (Proceedings) | Conferences (Presentations)
Presentations (Invited) | Presentations (Miscellaneous) | PhD Dissertations | MS Theses | MS Projects | Reports | Web Pages


Unpublished:

Books | Journals (Refereed) | Conferences (Proceedings) | Conferences (Presentations) PhD Dissertations | MS Theses


To directly view the directory index, click here.


Books:
  • Several books are under development. Please check back periodically to review our selection of open-source books.

Book Sections:
  • Obeid, I., & Picone, J. (2018). The Temple University Hospital EEG Data Corpus. In Augmentation of Brain Function: Facts, Fiction and Controversy. Volume I: Brain-Machine Interfaces (1st ed., pp. 394–398). Lausanne, Switzerland: Frontiers Media S.A. (Download).
  • Obeid, I., & Picone, J. (2018). Machine Learning Approaches to Automatic Interpretation of EEGs. In E. Sejdik & T. Falk (Eds.), Biomedical Signal Processing in Big Data (1st ed., p. 70). Boca Raton, Florida, USA: CRC Press. (Download).
  • Picone, J., Ganapathiraju, A., & Hamaker, J. (2007). Applications of Kernel Theory to Speech Recognition. In G. Camps-Valls, J. L. Rojo- Alvarez, & M. Martinez-Ramon (Eds.), Kernel Methods in Bioengineering, Communications and Image Processing (1st ed., pp. 224-245). Hershey: Idea Group Inc. Global. (Download).

Journals (Refereed):
  • Saleheen, F., Wang, Z., Picone, J., Butz, B., & Won, C.-H. (2018). Efficacy of a Virtual Teaching Assistant in an Open Laboratory Environment for Electric Circuits. Advances in Engineering Education, 6(3), 1–27. (Download).
  • Obeid, I., & Picone, J. (2016). The Temple University Hospital EEG Data Corpus. Frontiers in Neuroscience, Section Neural Technology, 10, 00196. (Download).
  • Harati, A., & Picone, J. (2016). A Doubly Hierarchical Dirichlet Process Hidden Markov Model with a Non-Ergodic Structure. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24(1), 174-184. (Download).
  • Sahu, A., Saleheen, F., Oleksyuk, V., McGoverin, C., Pleshko, N., Harati, A., Picone, J., & Won, C.-H. (2014). Characterization of Mammary Tumors Using Noninvasive Tactile and Hyperspectral Imaging. IEEE Sensors Journal, 14(10), 3337-3344. (Download).
  • Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2014). A Nonlinear Autoregressive Model for Speaker Verification. International Journal of Speech Technology, 17(1), 17-25. (Download).
  • Ma, T., Srinivasan, S., Lazarou, G., & Picone, J. (2014). Continuous Speech Recognition Using Linear Dynamic Models. International Journal of Speech Technology, 17(1), 11-16. (Download).
  • Harati, A., & Picone, J. (2014). Predicting Search Term Reliability for Spoken Term Detection Systems. International Journal of Speech Technology, 17(1), 1-9. (Download).
  • Parker, D., Picone, J., Harati, A., Lu, S., Jenkyns, M., & Polgreen, P. (2013). Detecting paroxysmal coughing from pertussis cases using voice recognition technology. PLoS ONE, 8(12), e82971. (Download).
  • Crocker, M., Lazarou, G., Baca, J., & Picone, J. (2009). A Bandwidth Determination Method for Ipv6-Based Networks. International Journal of Computers and Applications, 31(2), 109-118. (Download).
  • Lazarou, G., Baca, J., Frost, V., & Evans, J. (2009). Describing Network Traffic Using the Index of Variability. IEEE/ACM Transactions on Networking, 17(5), 1672-1683. (Download).
  • Zheng, D., & Lazarou, G. (2009). A Comprehensive Stochastic Model for TCP Latency and Throughput. International Journal of Modelling and Simulation, 29(2), 107-120. (Download).
  • Selvaraj, M., Lazarou, G., & Hu, R. (2008). Simultaneous and proportional bandwidth, delay and loss differentiation. International Journal of Computers and Applications, 30(2), 105-116. (Download).
  • Greeley, H., Berg, J., Friets, E., Wilson, J., Greenough, G., Picone, J. , Whitmore, J., et al. (2007). Fatigue estimation using voice analysis. Behavior Research Methods, 39(3), 610-619. (Download).
  • Lazarou, G., & Frost, V. (2007). Variance-Time Curve for Packet Streams Generated by Exponentially Distributed ON/OFF Sources. IEEE Communications Letters, 11(6), 552-554. (Download).
  • Lazarou, G., Li, J., & Picone, J. (2007). A Cluster-Based Power- Efficient MAC Scheme for Sensor Networks. Ad Hoc Networks, 5(7), 1017-1030. (Download).
  • Crocker, M., Baranski, J., & Lazarou, G. (2006). Fault-Tolerant Reco nfigurable Ethernet-Based IP Network Proxy. International Journal of Computers and Applications, 28(3), 270-277. (Download).
  • Baca, J., & Picone, J. (2005). Effects of Displayless Navigational Interfaces on User Prosodics. Speech Communication, 45(2), 187-202. (Download).
  • Xia, X., Lazarou, G., & Butler, T. (2005). Automatic scaling range selection for long-range dependent network traffic. IEEE Communications Letters, 9(10), 954-956. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2004). Applications of Support Vector Machines to Speech Recognition. IEEE Transactions onSignal Processing, 52(8), 2348-2355. (Download).
  • Ganapathiraju, A., Hamaker, J., Ordowski, M., Doddington, G., & Picone, J. (2001). Syllable-based large vocabulary continuous speech recognition. IEEE Transactions on Speech and Audio Processing, 9(4), 358-366. (Download).
  • Deshmukh, N., Ganapathiraju, A., & Picone, J. (1999). Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem. IEEE Signal Processing Magazine, 16(5), 84-107. (Download).
  • Picone, J., Staples, T., Kondo, K., & Arai, N. (1999). Kanji-to- Hiragana conversion based on a length-constrained n-gram analysis. IEEE Transactions on Speech and Audio Processing, 7(6), 685-696. (Download).
  • Rudis, V., Thill, R., Gramann, J., Picone, J., Kalidindi, N., & Tappe, P. (1999). Understory Structure by Season Following Uneven-aged Reproduction Cutting: a Comparison of Selected Measures Two and Six Years after Treatment, Forest Ecology and Management. Forest Ecology and Management, 114(2-3), 309-320. (Download).
  • Lazarou, G., Frost, V., Evans, J., & Nielaus, D. (1998). Simulation & Measurement of TCP/IP over ATM Wide Area Networks. IEICE Transactions on Communications, E81-B(2), 307-314. (Download).
  • DaSilva, L., Evans, J., Niehaus, D., Frost, V., Jonkman, R., & Lazarou, G. Y. (1997). ATM WAN performance tools, experiments, and results. IEEE Communications Magazine, 35(8), 118-125. (Download).
  • Picone, J., Ebel, W., & Deshmukh, N. (1995). Automated Speech Understanding: The Next Generation. Digital Signal Processing Technology, CR57, 101-114. (Download).
  • Picone, J. (1993). Signal modeling techniques in speech recognition. Proceedings of the IEEE, 81(9), 1215-1247. (Download).
  • Wheatley, B., & Picone, J. (1991). Voice Across America: Toward Robust Speaker Independent Speech Recognition For Telecommunications Applications. Digital Signal Processing: A Review Journal, 1(2),45-64. (Download).
  • Picone, J. (1990). Continuous speech recognition using hidden Markov models. IEEE ASSP Magazine, 7(3), 26-41. (Download).
  • Picone, J. (1990). Duration in context clustering for speech recognition. Speech Communication, 9(2), 119-128. (Download).
  • Picone, J., Doddington, G., & Pallett, D. (1990). Phone-mediated word alignment for speech recognition evaluation. IEEE Transactionson Acoustics, Speech and Signal Processing, 38(3), 559-562. (Download).
  • Sukkar, R., LoCicero, J., & Picone, J. (1989). Decomposition of the LPC excitation using the zinc basis functions. IEEE Transactionson Acoustics, Speech and Signal Processing, 37(9), 1329-1341. (Download).
  • Picone, J., Prezas, D., Hartwell, W., & LoCicero, J. (1988). Spectrum estimation using an analytic signal representation. Signal Processing, 15(2), 169-182. (Download).
  • Sukkar, R., LoCicero, J., & Picone, J. (1988). Design and implementation of a robust pitch detector based on a parallel processing technique. IEEE Journal on Selected Areas in Communications, SAC-6(2), 441-451. (Download).
  • Picone, J., Goudie-Marshall, K., Doddington, G., & Fisher, W. (1986). Automatic text alignment for speech system evaluation. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-34 (4), 780-784. (Download).
  • Picone, J., Prezas, D., Hartwell, W., & LoCicero, J. (1986). Joint estimation of the LPC parameters and the multi-pulse excitation. Speech Communication, 5(3), 253-260. (Download).
  • Picone, J., Prezas, D., Hartwell, W., & LoCicero, J. (1986). The stepdown procedure for complex predictor coefficients. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-34 (4), 1010-1011. (Download).
  • Picone, J., & LoCicero, J. (1982). An Application of the Barrett- Lampard Expansion to Obtain the Slope Characteristics of a Speech Signal. IEEE Transactions on Communications, 30(5), 1259-1262. (Download).

Journals (Misc):
  • Mell, J., & Fitch, K. (2016, March 17). Science Center's Start-Up Accelerator Focuses on "Long Horizon" Technologies. Science Center News, pp. 1-2. Philadelphia, Pennsylvania, USA. (Download).
  • Moretz, P. (2015, February 2). Grant will help develop more powerful disinfectants. Temple University News, p. 2. Philadelphia, Pennsylvania, USA. (Download).
  • Beans, B. (2014, May 1). Software to Interpret EEGs. College of Engineering Alumni Newsletter. p. TBD, Philadelphia, Pennsylvania, USA. (Download).
  • Baum, S. (2013, December 3). Software to interpret EEG for neurological disorders gets proof-of-concept funding. MedCity News, p. 2. Philadelphia, Pennsylvania, USA. (Download).
  • George, J. (2013, December 3). Science Center program awards $600K to four university researchers. Philadelphia Business Journal, p. 2. Philadelphia, Pennsylvania, USA. (Download).
  • Moretz, P. (2013, December 3). Drexel, Temple, Rutgers get $600k from Science Center to support research. Temple University News, p. 2. Philadelphia, Pennsylvania, USA. (Download).
  • Reyes, J. (2013, December 3). Drexel, Temple, Rutgers get $600k from Science Center to support research. Technically Philly, p. 2. Philadelphia, Pennsylvania, USA. (Download).
  • Lazarou, G., & Picone, J. (2005b). MSU testing system to plot bus runs via computers, cell phones. Research Windows - The Mississippi State University Research Journal , 1-3. (Download).
  • Lazarou, G., & Picone, J. (2005a). Bus-tracking System. Inside ITS, 15(7), 11. (Download).
  • Picone, J. (2003). Research to the Rescue. Research Windows - The Mississippi State University Research Journal , 10-17. (Download).
  • Duncan, R. (2001). The Quality of Requirements in Extreme Programming. Crosstalk: The Journal of Defense Software Engineering, 19-21. (Download).
  • Picone, J. (1999). From the Guest Editor. IEEE Signal Processing Magazine, 16(5), 63-63. (Download).
  • Picone, J., Hamaker, J., Brown, R., Hansen, J., & Cole, R. (1999). The DSP Learning environment - modern DSP education: The Story of Three Greek Philosophers. IEEE Signal Processing Magazine, 16(5), 48-56. (Download).
  • Picone, J. (1995). Curriculum Reform In University Undergraduate Education. IEEE Signal Processing Magazine, 12(6), 4-10. (Download).
  • Picone, J. (1992). Next Generation Voice Recognition Will Be Customer Programmable. Asahi Shimbun. (Download).
  • Picone, J., & Wheatley, B. (1991). Voice Across America: A Step Towards Automatic Telephone Transactions. Voice Processing Magazine, 46- 47. (Download).
  • Picone, J., Wheatley, B., & Lewis, R. (1991). The Hand-Held Voice- Controlled Terminal: Medical Information Interface of the Future. Computers in Healthcare Magazine, 12(8), 40-47. (Download).
  • Naik, J., & Picone, J. (1985). Meeting Summary: The First Annual Dallas Chapter Workshop on Signal Processing Technology. IEEE ASSP Magazine, 2(3), 26. (Download).
  • Picone, J. (1985). Acoustic waveguides applications to oceanic science. Proceedings of the IEEE, 73(11), 1694. (Download).
  • Picone, J. (1984). Acoustic waveguides applications to oceanic science. IEEE Transactions on Acoustics, Speech and Signal Processing, 32(6), 1258. (Download).
  • Picone, J. (1984). Book reviews: Acoustic waveguides applications to oceanic science. IEEE ASSP Magazine, 1(4), 23. (Download).

Conferences (Proceedings):
  • Houser, D., Golmohammadi, M. M., Anstotz, R., Campbell, C., Obeid, I., Picone, J., … Jhala, N. (2018). The Temple University Hospital Digital Pathology Corpus. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1–7). Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2018). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Proceedings of the International Conference on Machine Learning and Applications (ICMLA) (pp. 1–6). Orlando, FL, USA. (Download).
  • Shah, V., Golmohammadi, M., Ziyabari, S., von Weltin, E., Obeid, I., & Picone, J. (2017). Optimizing Channel Selection for Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-5). Philadelphia, Pennsylvania, USA: IEEE. (Download).
  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2017). Gated Recurrent Networks for Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-5). Philadelphia, Pennsylvania, USA: IEEE. (Download).
  • von Weltin, E., Ahsan, T., Shah, V., Jamshed, D., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Electroencephalographic Slowing: A Primary Source of Error in Automatic Seizure Detection. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-5). Philadelphia, Pennsylvania, USA: IEEE. (Download).
  • Lopez, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). An Analysis of Two Common Reference Points for EEGs. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download).
  • Yang, S., L-pez, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). Semi-automated Annotation of Signal Events in Clinical EEG Data. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium. Philadelphia, Pennsylvania, USA. (Download).
  • Torbati, A. H. H. N., & Picone, J. (2016). A Nonparametric Bayesian Approach for Automatic Discovery of a Lexicon and Acoustic Units. Proceedings of the IEEE Spoken Language Technology Workshop (pp. 71-75). (Download).
  • Torbati, A. H. H. N., & Picone, J. (2016). A Nonparametric Bayesian Approach for Spoken Term Detection by Example Query. In Proceedings of INTERSPEECH (pp. 928-932). San Francisco, California, USA. (Download).
  • Saleheen, F., Wang, Z., Moser, W., Oleksyuk, V., Picone, J., & Won, C.-H. (2016). Effectiveness of a Virtual Open Laboratory Teaching Assistant for Circuits Laboratory. Proceedings of the ASEE Annual Conference & Exposition (pp. 1-12). New Orleans, Louisiana, USA. (Download).
  • Ward, C., Obeid, I., & Picone, J. (2016). Applications of UBMs and I-Vectors in EEG Subject Verification. Proceedings of the 38th Annual International Conference of the Engineering in Medicine and Biology Conference (p. 4). Orlando, Florida, USA. (Download).
  • Lopez, S., Suarez, G., Jungreis, D., Obeid, I., & Picone, J. (2015). Automated Identification of Abnormal EEGs. Proceeding of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., Golmohammadi, M., Lopez, S., Obeid, I., & Picone, J. (2015). Improved EEG Event Classification Using Differential Energy. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download).
  • Saleheen, F., et al. (2015). Design and Evaluation of a Web-based Virtual Open Laboratory Teaching Assistant (VOLTA) for Circuits Laboratories. Presented at the ASEE Annual Conference & Exposition. Seattle, Washington, USA. (Download).
  • Saleheen, F., Giorgi, S., Smith, Z., Picone, J., & Won, C.-H. (2015). Virtual Teaching Assistant for Electrical Engineering Science: Initial Study. Proceedings of the Mid-Atlantic ASEE Conference (p. TBD). Villanova, Pennsylvania, USA. (Download).
  • Harati, A., Lopez, S., Obeid, I., Jacobson, M., Tobochnik, S., & Picone, J. (2014). THE TUH EEG CORPUS: A Big Data Resource for Automated EEG Interpretation. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-5). Philadelphia, Pennsylvania, USA. (Download).
  • Harati Nejad Torbati, A. H., Picone, J., & Sobel, M. (2014). A Left-to-Right HDP-HMM with HDPM Emissions. Proceedings of the Conference on Information Sciences and Systems (pp. 1-6). Princeton, New Jersey, USA. (Download).
  • Steinberg, J., Harati, A., & Picone, J. (2013). A Comparative Analysis of Bayesian Nonparametric Inference Algorithms for Acoustic Modeling in Speech Recognition. Proceedings of International Joint Conferences on Computer, Information, Systems Sciences, & Engineering (pp. 1-5). Bridgeport, Connecticut, USA: Springer- Verlag. (Download).
  • Harati, A., Choi, S. I., Tabrizi, M., Obeid, I., Jacobson, M., & Picone, J. (2013). The Temple University Hospital EEG Corpus. Proceedings of the IEEE Global Conference on Signal and Information Processing. (pp. 29-32). Austin, Texas, USA. (Download).
  • Obeid, I., & Picone, J. (2013). Accelerating the Rate of Technology Development in Bioengineering Through a Common Evaluation Paradigm. Proceedings of the IEEE EMBS Neural Engineering Conference. (pp.TBD). San Diego, California, USA. (Download).
  • Harati, A., Picone, J., & Sobel, M. (2013). Speech Segmentation Using Hierarchical Dirichlet Processes. Proceedings of INTERSPEECH (pp. 637-641). Lyon, France. (Download).
  • Lu, S., & Picone, J. (2013). Fingerspelling Gesture Recognition Using A Two-Level Hidden Markov Model. Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (ICPV) (pp. 538-543). Las Vegas, Nevada, USA. (Download).
  • Obeid, I., & Picone, J. (2013). Bringing Big Data to Neural Interfaces. Proceedings of the International Brain-Computer Interface Meeting (Paper ID: 180). Pacific Grove, California, USA. (Download).
  • Harati, A., & Picone, J. (2013). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) (pp. 114-117). San Diego, California, USA. (Download).
  • Harati, A., Picone, J., & Sobel, M. (2012). Applications of Dirichlet Process Mixtures to Speaker Adaptation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 4321-4324). Kyoto, Japan. (Download).
  • Ma, T., & Deisher, M. (2010). Novel CI-Backoff Scheme for Real-time Embedded Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1614-1617). Dallas, Texas, USA. (Download).
  • Srinivasan, S., Ma, T., May, D., Lazarou, G., & Picone, J. (2009). Nonlinear Statistical Modeling of Speech. Proceedings of the International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2009) (pp. 429-436). Oxford, Mississippi, USA. (Download).
  • Srinivasan, S., Ma, T., May, D., Lazarou, G., & Picone, J. (2008). Nonlinear Mixture Autoregressive Hidden Markov Models For Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 960-963). Brisbane, Australia. (Download).
  • Harper, M., Acero, A., Bangalore, S., Carbonell, J., Cohen, J., Cuthill, B., Espy-Wilson, C., et al. (2007). Report on NSF-Sponsored Human Language Technology Workshop on Industrial Centers. Proceedings of the Machine Translation Summit XI (pp. 239-246). Copenhagen, Denmark. (Download).
  • Holland, W., Baca, J., Duncan, D., & Picone, J. (2006b). Language Model Grammar Conversion. Proceedings of the International Conference on Internet Computing & Conference on Computer Games Development (pp. 87-91). Las Vegas, Nevada, USA. (Download).
  • Holland, W., Baca, J., Duncan, D., & Picone, J. (2006a). Language Model Grammar Conversion. Proceedings of the Parallel & Distributed Processing Techniques & Applications. Las Vegas, Nevada, USA. (Download).
  • Greeley, H., Berg, J., Friets, E., Wilson, J., Raghavan, S., & Picone, J. (2006). Detecting Fatigue From Voice Using Speech Recognition. Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (pp. 567-571). Vancouver, Canada. (Download).
  • Holland, W., May, D., Baca, J., Lazarou, G., & Picone, J. (2006). A Unified Language Model Architecture for Web-based Speech Recognition Grammars. IEEE International Symposium on Signal Processing and Information Technology (pp. 87-91). Vancouver, Canada. (Download).
  • Liu, M., Stanley, T., Baca, J., & Picone, J. (2006). Robust Architecture for Human Language Technology. Proceedings of IEEE Southeastcon (pp. 196-199). Memphis, Tennessee, USA. (Download).
  • Patil, S., Srinivasan, S., Prasad, S., Irwin, R., Lazarou, G., & Picone, J. (2006). Sequential State-Space Filters for Speech Enhancement. Proceedings of IEEE Southeastcon (pp. 240-243). Memphis, Tennessee, USA. (Download).
  • Prasad, S., Srinivasan, S., Pannuri, M., Lazarou, G., & Picone, J. (2006). Nonlinear Dynamical Invariants for Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 2518-2521). Pittsburgh, Pennsylvania, USA. (Download).
  • Raghavan, S., Lazarou, G., & Picone, J. (2006). Speaker Verification Using Support Vector Machines. Proceedings of IEEE Southeastcon (pp. 188-191). Memphis, Tennessee, USA. (Download).
  • Srinivasan, S., Prasad, S., Patil, S., Lazarou, G., & Picone, J. (2006). Estimation of Lyapunov Spectra From a Time Series. Proceedings of IEEE Southeastcon (pp. 192-195). Memphis, Tennessee, USA. (Download).
  • Stanley, T., Baca, J., Elliot, M., & Picone, J. (2006). Enhancements to the DARPA Communicator Architecture. Proceedings of the Parallel & Distributed Processing Techniques & Applications (pp. 139-143). Las Vegas, Nevada, USA. (Download).
  • Stanley, T., Baca, J., Liu, M., & Picone, J. (2006). A Distributed Prototyping Environment for Human Language Technology. Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (pp. 594-599). Vancouver, Canada. (Download).
  • Brocato, J., & Picone, J. (2005). Writing While Designing: Combining ECE Senior Design with an Existing Technical Writing Course. American Society for Engineering Education - Southeastern Section. Chattanooga, Tennessee, USA. (Download).
  • Gao, Wenzhong, & Porandla, S. (2005). Design Optimization of a Parallel Hybrid Electric Powertrain. Proceedings of the IEEE Vehicle Power and Propulsion Conference (pp. 6-12). Chicago, Illinois, USA. (Download).
  • Gao, WenZhong, Porandla, S., Musunuri, S., Mathews, J., Picone, J., Neema, S., & Gray, J. (2005). Hybrid Powertrain Design Using a Domain-Specific Modeling Environment. Proceedings of the IEEE Vehicle Power and Propulsion Conference (pp. 530-535). Chicago, Illinois, USA. (Download).
  • Li, J., & Lazarou, G. (2004b). A Bit-Map-Assisted Energy Efficient MAC Scheme for Wireless Sensor Networks. Proceedings of the International Symposium on Information Processing in Sensor Networks (pp. 55-60). Berkeley, California, USA. (Download).
  • Li, J., & Lazarou, G. (2004a). Modeling the Energy Consumption of MAC Schemes in Wireless Cluster-Based Sensor Networks. Proceedings of the IASTED International Conference on Modeling and Simulation (pp. 313-318). Marina del Rey, California, USA. (Download).
  • Alphonso, I., & Picone, J. (2004). Network Training For Continuous Speech Recognition. Proceedings of the European Signal Processing Conference (pp. 553-556). Vienna, Austria. (Download).
  • Baranski, J., Crocker, M., & Lazarou, G. (2004). Dynamic Routing Protocol Performance in a Fault-Tolerant Ethernet-based IP Network. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics (pp. 1-5). Orlando, Florida, USA. (Download).
  • Gao, H., Duncan, R., Baca, J., & Picone, J. (2004). Signal Processing Tools for Speech Recognition. Proceedings of the IASTED International Conference on Communications, Internet, and Information Technology (pp. 543-547). St. Thomas, US Virgin Islands, USA. (Download).
  • Imbiriba, T., Klautau, A., Parihar, N., Raghavan, S., & Picone, J. (2004). GMM And Kernel-Based Speaker Recognition with the ISIP Toolkit. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (pp. 371-380). Sao Luis, Brazil. (Download).
  • Jenkins, W., Lewis, R., Lazarou, G., Picone, J., & Rowland, Z. (2004). Real-time Vehicle Performance Monitoring Using Wireless Networking. Proceedings of the IASTED International Conference on Communications, Internet, and Information Technology (pp. 375-380) . St. Thomas, US Virgin Islands, USA. (Download).
  • Parihar, N., Picone, J., Pearce, D., & Hirsch, H.-G. (2004). Performance Analysis of the Aurora Large Vocabulary Baseline System. Proceedings of the European Signal Processing Conference (pp. 553-556). Vienna, Austria. (Download).
  • Sundaram, R., & Picone, J. (2004). Effects of Transcription Errors on Supervised Learning in Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 169-172). Montreal, Quebec, Canada. (Download).
  • Zheng, D., Lazarou, G., & Hu, R. (2003b). A Comprehensive TCP Stochastic Model. Proceedings of the IASTED International Conference on Communications, Internet, and Information Technology (pp. 291-296). Phoenix, Arizona, USA. (Download).
  • Zheng, D., Lazarou, G., & Hu, R. (2003a). A Stochastic Model for Short-lived TCP Flows. Proceedings of the IEEE International Conference on Communications (pp. 291-296). Anchorage, Alaska, USA. (Download).
  • Baca, J., Zheng, F., Gao, H., & Picone, J. (2003). Dialog Systems for Automotive Environments. Proceedings of the European Conference on Speech Communication and Technology (pp. 1929-1932). Geneva, Switzerland. (Download).
  • Baranski, J., Crocker, M., & Lazarou, G. (2003). Fault-Tolerant Reconfigurable Ethernet-Based IP Network Proxy. Proceedings of the IASTED International Conference on Communications, Internet, and Information Technology (pp. 214-220). Phoenix, Arizona, USA. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2003). Advances in Hybrid SVM/HMM Speech Recognition. Proceedings of the GSPx / International Signal Processing Conference Dallas, Texas, USA. (Download).
  • Hu, R., Babbitt, J., Abu-Amara, H., Rosenburg, C., & Lazarou, G. (2003). Connectivity Planning and Call Admission Control in an On-board Cross-connect Based Multimedia Geo Satellite Network. Proceedings of the IEEE International Conference on Communications (pp. 422-427). Anchorage, Alaska, USA. (Download).
  • Lazarou, G., & Xia, X. (2003). Internet Traffic Modeling Using the Index of Variability. Proceedings of the IASTED International Conference on Modeling and Simulation (pp. 31-37). Palm Springs, California, USA. (Download).
  • Parihar, N., & Picone, J. (2003). An Analysis of the Aurora Large Vocabulary Evaluation. Proceedings of the European Conference on Speech Communication and Technology (pp. 337-340). Geneva, Switzerland. (Download).
  • Selvaraj, M., Lazarou, G., & Hu, R. (2003). Proportional Bandwidth, Delay, and Loss Differentiation. Proceedings of the IASTED International Conference on Communications, Internet, and Information Technology (pp. 291-296). Phoenix, Arizona, USA. (Download).
  • Hamaker, J., Picone, J., & Ganapathiraju, A. (2002). A Sparse Modeling Approach to Speech Recognition Based on Relevance Vector Machines. Proceedings of the International Conference of Spoken Language Processing (pp. 1001-1004). Denver, Colorado, USA. (Download).
  • Harabagiu, S., Picone, J., & Moldovan, D. (2002). Voice Activated Question Answering. Proceedings of the International Conference on Computational Linguistics (pp. 1-7). Taipei, Taiwan. (Download).
  • Huang, K., & Picone, J. (2002). Internet-Accessible Speech Recognition Technology. Proceedings of the IEEE Midwest Symposium on Circuits and Systems (p. III-73 - III-76). Tulsa, Oklahoma, USA. (Download).
  • Duncan, R., & Picone, J. (2001). System combination for improved automatic generation of N-best proper nouns pronunciation. Proceedings of IEEE Southeastcon (pp. 208-212). Clemson, South Carolina, USA. (Download).
  • Jelinek, B., Zheng, F., Parihar, N., Hamaker, J., & Picone, J. (2001). Generalized Hierarchical Search in the ISIP ASR System. Proceedings of the Asilomar Conference on Signals, Systems and Computers (pp. 1553-1556). Pacific Grove, California, USA. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2000b). A Hybrid ASR System Using Support Vector Machines. Proceedings of the International Conference of Spoken Language Processing (pp. 504-506). Beijing, China. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2000a). Hybrid HMM/SVM Architectures for Speech Recognition. Proceedings of the DoD Speech Transcription Workshop College Park, Maryland, USA. (Download).
  • Byrne, W., Beyerlein, P., Huerta, J., Khudanpur, S., Marthi, B., Morgan, J., Peterek, N., et al. (2000). Towards language independent acoustic modeling. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 2, pp. 1029-1032). Istanbul, Turkey. (Download).
  • Ganapathiraju, A., & Picone, J. (2000). Support Vector Machines For Automatic Data Cleanup. Proceedings of the International Conference of Spoken Language Processing (pp. 210-213). Beijing, China. (Download).
  • Long, Z., Picone, J., & Rudis, V. (2000). The Optimization of Edge and Line Detectors for Forest Image Analysis. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics (pp. 171-176). Orlando, Florida, USA. (Download).
  • Sundaram, R., Ganapathiraju, A., Hamaker, J., & Picone, J. (2000). ISIP 2000 Conversational Speech Evaluation System. Proceedings of the DoD Speech Transcription Workshop College Park, Maryland, USA. (Download).
  • Balakrishnama, S., Ganapathiraju, A., & Picone, J. (1999). Linear discriminant analysis for signal processing problems. Proceedings of IEEE Southeastcon (pp. 78-81). Lexington, Kentucky, USA. (Download).
  • Beyerlein, P., Byrne, W., Huerta, J., Khudanpur, S., Marthi, B., Morgan, J., Peterek, N., et al. (1999). Towards Language Independent Acoustic Modeling. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop Keystone, Colorado, USA. (Download).
  • Deshmukh, N., Ganapathiraju, A., Hamaker, J., Picone, J., & Ordowski, M. (1999). A Public Domain Speech-to-Text System. Proceedings of the European Conference on Speech Communication and Technology (pp. 2127-2130). Budapest, Hungary. (Download).
  • Doddington, G., Ganapathiraju, A., Picone, J., & Wu, Y. (1999). Adding Word Duration Information to Bigram Language Models. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop Keystone, Colorado, USA. (Download).
  • Duncan, R., & Picone, J. (1999). A Unix-based speech data collection platform. Proceedings of IEEE Southeastcon (pp. 29-31). Lexington, Kentucky, USA. (Download).
  • Ganapathiraju, A., Deshmukh, N., Hamaker, J., Mantha, V., Wu, Y., Zhang, X., Zhao, J., et al. (1999). ISIP Public Domain LVCSR System. Proceedings of the DoD Speech Transcription Workshop Linthicum Heights, Maryland, USA. (Download).
  • Mantha, V., Duncan, R., Wu, Y., Zhao, J., Ganapathiraju, A., & Picone, J. (1999). Implementation and analysis of speech recognition front-ends. Proceedings of IEEE Southeastcon (pp. 32-35). Lexington, Kentucky, USA. (Download).
  • Picone, J., Pike, S., Reagan, R., Kamm, T., Bridle, J., Deng, L., Ma, J., et al. (1999). Initial evaluation of hidden dynamic models on conversational speech. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 1, pp. 109 -112). Phoenix, Arizona, USA. (Download).
  • Zhang, X., Ramani, V., Long, Z., Zeng, Y., Ganapathiraju, A., & Picone, J. (1999). Scenic beauty estimation using independent component analysis and support vector machines. Proceedings of IEEE Southeastcon (pp. 274-277). Lexington, Kentucky, USA. (Download).
  • Zhao, J., Hamaker, J., Deshmukh, N., Ganapathiraju, A., & Picone, J. (1999). Fast search algorithms for continuous speech recognition. Proceedings of IEEE Southeastcon (pp. 36-39). Lexington, Kentucky, USA. (Download).
  • Charalambos, C., Lazarou, G., Frost, V., Evans, J., & Jonkman, R. (1998). Experimental and simulation performance results of TCP/IP over high-speed ATM over ACTS. Proceedings of the IEEE International Conference on Communications (Vol. 1, pp. 72 -78). Atlanta, Georgia, USA. (Download).
  • Deshmukh, N., Ganapathiraju, A., Gleeson, A., Hamaker, J., & Picone, J. (1998). Resegmentation of Switchboard. Proceedings of the International Conference on Spoken Language Processing (pp. 1543-1546). Sydney, Australia. (Download).
  • Deshmukh, N., Ganapathiraju, A., Hamaker, J., & Picone, J. (1998). An Efficient Public Domain LVCSR Decoder. Proceedings of DARPA Broadcast News Transcription and Understanding Workshop. Linthicum Heights, Maryland, USA. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (1998). Support Vector Machines for Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 2923-2926). Sydney, Australia. (Download).
  • Ganapathiraju, A., Hamaker, J., Skjellum, A., & Picone, J. (1998). Contemporary View of FFT Algorithms. Proceedings of the IASTED International Conference on Signal and Image Processing (pp. 130-133). Las Vegas, Nevada, USA. (Download).
  • Hamaker, J., Deshmukh, N., Ganapathiraju, A., & Picone, J. (1998). Resegmentation and Transcription of the SWITCHBOARD Corpus. Proceedings of DARPA Broadcast News Transcription and Understanding Workshop. Linthicum Heights, Maryland, USA. (Download).
  • Hamaker, J., Ganapathiraju, A., & Picone, J. (1998). Information Theoretic Approaches to Model Selection. Proceedings of the International Conference on Spoken Language Processing (pp. 2931-2934). Sydney, Australia. (Download).
  • Hamaker, J., Ganapathiraju, A., Picone, J., & Godfrey, J. (1998). Advances in alphadigit recognition using syllables. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 1, pp. 421 -424). Seattle, Washington, USA. (Download).
  • Ngan, J., Ganapathiraju, A., & Picone, J. (1998). Improved Surname Pronunciations Using Decision Trees. Proceedings of the International Conference on Spoken Language Processing (pp. 3285-3288). Sydney, Australia. (Download).
  • Shaffer, J., Hamaker, J., & Picone, J. (1998). Visualization of signal processing concepts. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 3, pp. 1853-1856). Seattle, Washington, USA. (Download).
  • Balducci, M., Ganapathiraju, A., Hamaker, J., Picone, J., Choudary, A., & Skjellum, A. (1997). Benchmarking of FFT algorithms. Proceedings of IEEE Southeastcon (pp. 328-330). Blacksburg, Virginia, USA. (Download).
  • DaSilva, L., Evans, J., Niehaus, D., Frost, V., Jonkman, R., Lee, B. O., & Lazarou, G. (1997). Performance experiences in a wide area ATM network. Proceedings of the IEEE International Conference on Communications (Vol. 3, pp. 1694 -1698). Montreal, Canada. (Download).
  • Deshmukh, N., Ngan, J., Hamaker, J., & Picone, J. (1997). An advanced system to generate pronunciations of proper nouns. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 2, pp. 1467 -1470). Munich, Germany. (Download).
  • Ganapathiraju, A., & Picone, J. (1997). Echo cancellation for evaluating speaker identification technology. Proceedings of IEEE Southeastcon (pp. 100-102). Blacksburg, Virginia, USA. (Download).
  • Ganapathiraju, A., Goel, V., Picone, J., Corrada, A., Doddington, G., Kirchoff, K., Ordowski, M., et al. (1997). Syllable - A Promising Recognition Unit for LVCSR. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (pp. 207-214). Santa Barbara, California. (Download).
  • Godfrey, J., Ganapathiraju, A., Ramalingam, C., & Picone, J. (1997). Microsegment-based connected digit recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1755 -1758). Munich, Germany. (Download).
  • Kalidindi, N., Le, A., Picone, J., Zheng, L., Yaqin, H., & Rudis, V. (1997). Scenic Beauty Estimation of Forestry Images. Proceedings of IEEE Southeastcon (pp. 337-339). Blacksburg, Virginia, USA. (Download).
  • Ngan, J., & Picone, J. (1997). Issues in generating pronunciation dictionaries for voice interfaces to spatial databases. Proceedings of IEEE Southeastcon (pp. 97-99). Blacksburg, Virginia, USA. (Download).
  • Deshmukh, N., Duncan, R., Ganapathiraju, A., & Picone, J. (1996). Benchmarking Human Performance for Continuous Speech Recognition. Proceedings of the International Conference on Spoken Language Processing (pp. 2486-2489). Philadelphia, Pennsylvania, USA. (Download).
  • Deshmukh, N., Ganapathiraju, A., Duncan, R., & Picone, J. (1996). Human Speech Recognition Performance on the 1995 CSR Hub-3 Corpus. Proceedings of the ARPA Speech Recognition Workshop (pp. 129-134) . Harriman, New York, USA. (Download).
  • Deshmukh, N., Weber, M., & Picone, J. (1996). Automated generation of N-best pronunciations of proper nouns. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 1, pp. 283-286). Atlanta, Georgia, USA: IEEE. (Download).
  • Ganapathiraju, A., Webster, L., Trimble, J., Bush, K., & Kornman, P. (1996). Comparison of energy-based endpoint detectors for speech signal processing. Proceedings of IEEE Southeastcon (pp. 500-503). Tampa, Florida, USA. (Download).
  • Lazarou, G., Frost, V., Evans, J., & Niehaus, D. (1996). Using measurements to validate simulation models of TCP/IP over high speed ATM wide area networks. Proceedings of the IEEE International Conference on Communications (Vol. 1, pp. 309 -314). Dallas, Texas, USA. (Download).
  • Deshmukh, N., & Picone, J. (1995). Methodologies for language modeling and search in continuous speech recognition. Proceedings of IEEE Southeastcon (pp. 192-198). Raleigh, North Carolina, USA. (Download).
  • Deshmukh, N., Picone, J., & Kao, Y.-H. (1995). Efficient search strategies in hierarchical pattern recognition systems. In U. Starkville, Mississippi (Ed.), Proceedings of the Southeastern Symposium on System Theory (pp. 88-91). (Download).
  • Ebel, W., & Picone, J. (1995). Human Speech Recognition Performance on the 1994 CSR Spoke 10 Corpus. Proceedings of the Spoken Language Systems Technology Workshop (pp. 53-59). Austin, Texas, USA. (Download).
  • Muthusamy, Y., Holliman, E., Wheatley, B., Picone, J., & Godfrey, J. (1995). Voice across Hispanic America: a telephone speech corpus of American Spanish. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 1, pp. 85 -88). Detroit, Michigan, USA. (Download).
  • Picone, J., & Ostendorf, M. (1995). New Approaches to Stochastic Modeling of Speech. Proceedings of the IEEE ASR Workshop (pp. 27-35). Snowbird, Utah, USA. (Download).
  • Kondo, K., Picone, J., & Wheatley, B. (1994). A comparative analysis of Japanese and English digit recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. I, pp. I/101-I/104). Adelaide, South Australia, Australia. (Download).
  • Staples, T., Picone, J., & Arai, N. (1994). The Voice Across Japan Database-the Japanese Language Contribution to Polyphone. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. i, pp. 89-92 (vol. 1)). Adelaide, South Australia, Australia. (Download).
  • Wheatley, B., Staples, T., & Picone, J. (1994). A Language-Portable Orthography Analysis System. Proceedings of the Speech Research Symposium XIV (pp. 126-128). Baltimore, Maryland, USA. (Download).
  • Picone, J. (1993). Managing software complexity in signal processing research. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Vol. 3, p. III-41-III-44). Minneapolis, Minnesota, USA. (Download).
  • Kondo, K., Picone, J., & Wheatley, B. (1992). A Comparative Analysis of Japanese and English Digit Recognition. Proceedings of the Spring Meeting of the Acoustical Society of Japan (pp. 129-130). Tokyo, Japan. (Download).
  • Picone, J., Kondo, K., & Staples, T. (1992). Towards Robust Phonetic Recognition of Spoken Japanese. Proceedings of the Texas Instruments Japan Technical Meeting (pp. 55-56). Tokyo, Japan. (Download).
  • Andrews, M., DeGroat, R., & Picone, J. (1990). A High Performance MUSIC Based Pitch Detector. Proceedings of the Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 669-672). San Francisco, California, USA. (Download).
  • Andrews, M., Picone, J., & DeGroat, R. (1990). Robust pitch determination via SVD based cepstral methods. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 253-256). Albuquerque, New Mexico, USA. (Download).
  • Picone, J. (1990). The demographics of speaker independent digit recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 105 -108). Albuquerque, New Mexico, USA. (Download).
  • Andrews, M., DeGroat, R., & Picone, J. (1989). Robust cepstral based pitch determination. Proceedings of the Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 744-748). Pacific Grove, California, USA. (Download).
  • Hemphill, C. (1989). Chart Parsing of Stochastic Spoken Language Models. Proceedings of the DARPA Speech and Natural Language Workshop (pp. 250-255). Pittsburgh, Pennsylvania, USA. (Download).
  • Hemphill, C., & Picone, J. (1989). Speech recognition in a unification grammar framework. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 723-726). Glasgow, Scotland. (Download).
  • Picone, J. (1989). On modeling duration in context in speech recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 421-424). Glasgow, Scotland. (Download).
  • Picone, J., & Doddington, G. (1989). A phonetic vocoder. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 580-583). Glasgow, Scotland. (Download).
  • Sukkar, R., LoCicero, J., & Picone, J. (1988b). LPC excitation based on zinc function decomposition. Proceedings of the IEEE Global Communications Conference (pp. 285-289). Tampa, Florida, USA: IEEE. (Download).
  • Sukkar, R., LoCicero, J., & Picone, J. (1988a). LPC Coding of Speech Using a Novel Excitation Model. Proceedings of the Midwest Symposium on Circuits and Systems (pp. 920-923). St. Louis, Missouri, USA: University of Missouri-Rolla. (Download).
  • Picone, J., Johnson, M., & Hartwell, W. (1988). Enhancing the performance of speech recognition with echo cancellation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 529-532). New York, New York, USA. (Download).
  • Bronson, E., Carlone, D., Kleijn, W., O-AoDell, K., Picone, J., & Thomson, D. (1987). Harmonic coding of speech at 4.8 kb/s. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2213-2216). Dallas, Texas, USA. (Download).
  • Picone, J., & Doddington, G. (1987). Low rate speech coding using contour quantization. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1653-1656). Dallas, Texas, USA. (Download).
  • Picone, J., Doddington, G., & Secrest, B. (1987). Robust pitch detection in a noisy telephone environment. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1442-1445). Dallas, Texas, USA. (Download).
  • Picone, J., Prezas, D., Hartwell, W., & LoCicero, J. (1986b). Multi- Pulse Linear Predictive Coding Using An Analytic Signal Representation. Proceedings of the IEEE Global Communications Conference (pp. 23.2.1-23.2.5). Houston, Texas, USA. (Download).
  • Picone, J., Prezas, D., Hartwell, W., & LoCicero, J. (1986a). Spectr um Estimation Using an Analytic Signal Representation. Proceedings of the ASSP Workshop on Spectrum Estimation (pp. 172-175). Boston, Massachusetts, USA. (Download).
  • Picone, J. (1986). Tutorial: Recent Trends in Digital Speech Coding. Proceedings of the National Communications Forum (pp. 691-696.) Chicago, Illinois, USA. (Download).
  • Prezas, D., Picone, J., & Thomson, D. (1986). Fast and accurate pitch detection using pattern recognition and adaptive time-domain analysis. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 109-112). Tokyo, Japan. (Download).
  • Rajasekaran, P., Doddington, G., & Picone, J. (1986). Recognition of speech under stress and in noise. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 733-736). Tokyo, Japan. (Download).

Conferences (Presentations):
  • Campbell, C., Mecca, N., Duong, T., Obeid, I., & Picone, J. (2018). Expanding an HPC Cluster to Support the Computational Demands of Digital Pathology. In IEEE Signal Processing in Medicine and Biology Symposium (pp. 1–2). Philadelphia, Pennsylvania, USA. ( Download).
  • Ferrell, S., von Weltin, E., Obeid, I., & Picone, J. (2018). Open Source Resources to Advance EEG Research. In IEEE Signal Processing in Medicine and Biology Symposium (pp. 1–3). Philadelphia, Pennsylvania, USA. (Download).
  • Capp, N., Campbell, C., Elseify, T., Obeid, I., & Picone, J. (2018). Optimizing EEG Visualization Through Remote Data Retrieval and Asynchronous Processing. In IEEE Signal Processing in Medicine and Biology Symposium (pp. 1–2). Philadelphia, Pennsylvania, USA. (Download).
  • Shah, V., Anstotz, R., Obeid, I., & Picone, J. (2018). Adapting an Automatic Speech Recognition System to Event Classification of Electroencephalograms. In IEEE Signal Processing in Medicine and Biology Symposium (pp. 1–4). Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J., Obeid, I., & Harabagiu, S. (2018). Automated Cohort Retrieval from EEG Medical Records. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. ( Download ).
  • Ziyabari, S., Obeid, I., & Picone, J. (2018). Curriculum Learning Based on Sample Selection Using Posterior Probabilities. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
  • Lopez, S., Obeid, I., & Picone, J. (2018). Automated Interpretation of Abnormal Adult Electroencephalograms. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
  • Golmohammadi, M., Obeid, I., & Picone, J. (2018). Deep Residual Learning for Automatic Seizure Detection. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download).
  • Veloso, L., McHugh, J. R., von Weltin, E., Obeid, I., & Picone, J. (2017). Big Data Resources for EEGs: Enabling Deep Learning Research. IEEE Signal Processing in Medicine and Biology Symposium (p. 1). Philadelphia, Pennsylvania, USA: IEEE. (Download).
  • Campbell, C., Mecca, N., Obeid, I., & Picone, J. (2017). The Neuronix HPC Cluster: Improving Cluster Management Using Free and Open Source Software Tools. IEEE Signal Processing in Medicine and Biology Symposium (p. 1). Philadelphia, Pennsylvania, USA: IEEE. (Download).
  • Capp, N., Krome, E., Obeid, I., & Picone, J. (2017). Rapid Annotation of Seizure Events Using an Extensible Visualization Tool. IEEE Signal Processing in Medicine and Biology Symposium (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M., Shah, V., Lopez, S., Ziyabari, S., Yang, S., Camaratta, J., ... Picone, J. (2017). The TUH EEG Seizure Corpus. American Clinical Neurophysiology Society (ACNS) Annual Meeting (p. 1). Phoenix, Arizona, USA: American Clinical Neurophysiology Society. (Download).
  • Somaru, P., Obeid, I., & Picone, J. (2016). Low-Cost High-Performanc e Computing Via Consumer GPUs. IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Thiess, M., Krome, E., Golmohammadi, M., Obeid, I., & Picone, J. (2016). Enhanced visualizations for improved real-time EEG monitoring. IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (p. 1). (Download).
  • Golmohammadi, M., Ziyabari, S., Lopez, S., Krome, E., Thiess, M., Yang, S., ... Picone, J. (2016). EEG Event Detection Using Deep Learning. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
  • Obeid, I., Picone, J., & Harabagiu, S. (2016). Automatic Discovery and Processing of EEG Cohorts from Clinical Records. In Big Data to Know ledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
  • Picone, J., Obeid, I., & Harabagiu, S. (2016). Scalable EEG interpretation using Deep Learning and Schema Descriptors. In Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
  • Harabagiu, S., Goodwin, T., Maldonado, R., & Taylor, S. (2016). Active Deep Learning-Based Annotation of Electroencephalography Reports for Patient Cohort Identification. In M. Dunn (Ed.), Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
  • Harabagiu, S., & Goodwin, T. (2016). Deep Learning-Based Multi-Modal Indexing of Heterogeneous Clinical Data for Patient Cohort Retrieval. In Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download).
  • Harati, A., Golmohammadi, M., Jacobson, M., Lopez, S., Obeid, I., Picone, J., & Tobochnik, S. (2016). Automatic Interpretation of EEGs for Clinical Decision Support. In Proceedings of the American Clinical Neurophysiology Society (ACNS) Annual Meeting (p. 1). Orlando, Florida, USA. (Download).
  • Guimaraes Moura, A., Lopez, S., Obeid, I., & Picone, J. (2015). A Comparison of Feature Extraction Methods for EEG Signals. IEEE Signal Processing in Medicine and Biology Symposium (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Trejo, D., Obeid, I., & Picone, J. (2015). Affordable Supercomputing Using Open Source Software. IEEE Signal Processing in Medicine and Biology Symposium (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M., Lopez, S., Obeid, I., & Picone, J. (2015). EEG Event Detection on the TUH EEG Corpus. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download).
  • Harabagiu, S., Goodwin, T., & Maldonado, R. (2015). Generating and Using a Qualified Medical Knowledge Graph for Patient Cohort Retrieval from Big Clinical Electroencephalography (EEG) Data. Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download).
  • Obeid, I., & Picone, J. (2015). The Neural Engineering Data Consortium. Working Group on Neurocritical Care Informatics, Neurocritical Care Annual Society Meeting (p. 3). Scottsdale, Arizona, USA. (Download).
  • Obeid, I., & Picone, J. (2014). The Neural Engineering Data Consortium. The IEEE EMBS BRAIN Grand Challenges Conference. Washington, D.C., USA. (Download).
  • Obeid, I., Harati, A., & Picone, J. (2014). EEG Event Detection Using Big Data. 48th Annual Asilomar Conference on Signals, Systems, and Computers. Pacific Grove, California, USA. (Download).
  • Obeid, I., & Picone, J. (2014). Big Data Archive for EEG Brain Machine Interfaces. DARPA RE-NET Program Review. Scottsdale, Arizona, USA. (Download).
  • Ward, C., Obeid, I., Picone, J., & Jacobson, M. (2013). Leveraging Big Data Resources for Automatic Interpretation of EEGs. IEEE Signal Processing in Medicine and Biology Symposium. New York City, New York, USA. (Download).
  • Adamczyk, M., Parker, D., Cremer, J., Picone, J., Harati, A., & Polgreen, P. (2013). A mobile phone application for pertussis classification based on machine learning. International Meeting on Emerging Diseases and Surveillance. Vienna, Austria. (Download).
  • Picone, J. (2006). Information Retrieval From Voice: The Importance of Flexibility and Efficiency. DoD Spoken Term Detection Workshop. Gaithersburg, Maryland, USA. (Download).
  • Picone, J., Duncan, R., & Hamaker, J. (2001). Internet-Accessible Speech Recognition Technology. O'Reilly Open Source Convention. San Diego, California, USA. (Download).
  • Sundaram, R., & Picone, J. (2001). The Effects of Transcription Errors. DoD Speech Transcription Workshop. Linthicum Heights, Maryland, USA. (Download).
  • Sundaram, R., Hamaker, J., & Picone, J. (2001). TWISTER: The ISIP 2001 Conversational Speech Evaluation System. DoD Speech Transcription Workshop. Linthicum Heights, Maryland, USA. (Download).
  • Zheng, F., Hamaker, J., Goodman, F., George, B., Parihar, N., & Picone, J. (2001). The ISIP 2001 NRL Evaluation for Recognition of Speech in Noisy Environments. DARPA Workshop on Speech In Noisy Environments. Orlando, Florida, USA. (Download).
  • George, B., Necioglu, B., Picone, J., Shuttic, G., & Sundaram, R. (2000). The 2000 NRL Evaluation for Recognition of Speech in Noisy Environments. DARPA Workshop on Speech In Noisy Environments. Alexandria, Virginia, USA. (Download).
  • Picone, J., Atkeson, C., & Alphonso, I. (2000). Harnessing High Bandwidth: Applications in Speech Recognition. Internet 2 Member Meeting. Washington, D.C., USA. (Download).
  • Price, P., & Picone, J. (2000). Automatic Speech Recognition: Better Than Text? AAAS Annual Meeting and Science Innovation Exposition. Washington, D.C., USA. (Download).
  • Picone, J., Byrne, W., Beyerlein, P., Huerta, J., Khudanpur, S., Morgan, J., Peterek, N., et al. (1999). Knowledge-Based Phone Mappings. Proceedings of the NSF Workshop on Language Engineering for Students and Professionals Integrating Research and Education. Baltimore, Maryland, USA. (Download).
  • Picone, J., Bridle, J., Deng, L., Kamm, T., Ma, J., Pike, S., Reagan, R. , et al. (1998). Evaluation of Hidden Dynamic Models on Continuous Speech. NSF Workshop on Language Engineering for Students and Profession als Integrating Research and Education. Baltimore, Maryland, USA. (Download).
  • Ganapathiraju, A., Doddington, G., Corrada, A., Goel, V., Wheatley, B., Kirchoff, K., Ordowski, M., et al. (1997). Syllable-Based Speech Recognition. Summer Workshop on Speech Recognition. Baltimore, Maryland, USA. (Download).
  • Rudis, V., Thill, R., Gramann, J., Picone, J., Kalidindi, N., & Tappe, P. (1997). Understory structure by season following uneven-aged and six years after treatment. Proceedings of the Biennial North America n Forest Ecology Workshop. Raleigh, North Carolina, USA. (Download).
  • Picone, J. (1994). Recent Trends in Speech Coding For Personal Communications. IEEE Wichita Section Conference on Communications, Networking and Signal Processing. Wichita, Kansa, USA. (Download).
  • Picone, J. (1989b). Tutorial: Speech Recognition Using Hidden Markov Models. Speech Technology Conference. New York City, New York, USA,. (Download).
  • Picone, J. (1989a). Towards an Integrated Research and Development Environment. Speech Technology Conference. New York City, New York, USA. (Download).
  • Hemphill, C., & Picone, J. (1989). Unifying Speech and Natural Language. AAAI Spring Symposium Series. Palo Alto, California, USA. (Download).
  • Wheatley, B., & Picone, J. (1989). Integrating Speech Technologies For Medical Applications. Medical Applications of Voice Response Technology. Pittsburgh, Pennsylvania, USA. (Download).
  • Picone, J., Doddington, G., & Godfrey, J. (1988). A Layered Grammar Approach to Speaker Independent Speech Recognition. IEEE Speech Recognition Workshop. (Download).
  • Picone, J. (1987). Tutorial: Recent Trends in Digital Speech Coding. Eastern Communications Forum. Stamford, Connecticut, USA. (Download).
  • Goudie-Marshall, K., Picone, J., & Fisher, W. (1985). Phonetic String Alignment. Journal of the Acoustical Society of America (p. S12). Syracuse, New York, USA. (Download).

Presentations (Invited):
  • Coe, J., & Picone, J. (2018). Use of Big Data and Machine Learning In Support of the Pennsylvania Strategic Highway Safety Plan. In PennDOT Research Symposium (p. 21). Harrisburg, Pennsylvania, USA. (Download).
  • Picone, J., & Obeid, I. (2018). Enabling Deep Learning Approaches for Automatic Interpretation of EEGs. In Neural Interfaces Conference (p. 23). Minneapolis, Minnesota, USA. (Download).
  • Picone, J., & Obeid, I. (2016). Fundamentals in Data Science: Data Wrangling, Normalization, Preprocessing of Physiological Signals. In M. Dunn (Ed.), The BD2K Guide to the Fundamentals of Data Science (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
  • Harabagiu, S. (2016). Fundamentals in Data Science: Active Deep Learning-Based Annotation of Electroencephalography Reports for Patient Cohort Identification. In M. Dunn (Ed.), The BD2K Guide to the Fundamentals of Data Science (p. 1). Bethesda, Maryland, USA: National Institutes of Health. (Download).
  • Obeid, I., Picone, J., & Farkas, T. (2016). Transforming Clinical Practice Using Big Data: Embracing Analytics While Balancing Cybersecurity Risks. In A. Kuhlman & M. Mariengo-Hall (Eds.), Crypto-Linguistic Association, Department of Defense (p. 1). Fort Meade, Maryland, USA: Department of Defense. (Download).
  • Obeid, I., & Picone, J. (2014). The Neural Engineering Data Consortium: Towards Big Data Resources in Bioengineering. IEEE EnCON (in press). Indianapolis, Indiana, USA. (Download).
  • Obeid, I., Harati, A., Jacobson, M., & Picone, J. (2014). A Big-Data Approach to Automated EEG Labeling. Proceedings of Neuroinformatics. Leiden, The Netherlands. (Download).
  • Picone, J., & Harati, A. (2013). Emerging Directions in Statistical Modeling in Speech Recognition. Department of Computer Science, The University of Iowa. Iowa City, Iowa, USA. (Download).
  • Picone, J., Lu, S., & Harati, A. (2013). Hand Gesture Recognition Using Hidden Markov Models. IEEE Section Meeting, Northern Virginia. Arlington, Virginia, USA. (Download).
  • Picone, J., Harati, A., Steinberg, J., & Sobel, M. (2013). Nonparametric Bayesian Approaches for Acoustic Modeling in Speech Recognition. Department of Electrical and Computer Engineering, New Jersey Institute of Technology. Newark, New Jersey, USA. (Download).
  • Picone, J., & Obeid, I. (2012). The Neural Engineering Data Consortium: Deja Vu All Over Again. 20th Anniversary Celebration, Linguistic Data Consortium, University of Pennsylvannia. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., & Picone, J. (2012). Applications of Dirichlet Process Models to Speech Processing and Machine Learning. IEEE Section Meeting, Northern Virginia. Fairfax, Virginia, USA. (Download).
  • Picone, J. (2011b). Human Language Technology: From Bits to Blogs. Department of Kinesiology, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2011a). Quality Assessment of Search Terms in Spoken Term Detection. Department of Statistics, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Srinivasan, S. (2011). A Nonlinear Mixture Autoregressive Model for Speaker Verification. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010c). Quality Assessment of Search Terms in Spoken Term Detection. Department of Electrical and Computer Engineering, University of Delaware. Newark, Delaware, USA. (Download).
  • Picone, J. (2010b). Human Language Technology: From Bits to Blogs. Department of Neuroscience, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010a). Quality Assessment of Search Terms in Spoken Term Detection. Department of Electrical and Computer Engineering, Old Dominion University. Norfolk, Virginia, USA. (Download).
  • Ma, T. (2010). A Linear Dynamic Model for Continuous Speech Recognition. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009b). Nonlinear Statistical Modeling of Speech. Department of Computer and Information Science, Temple University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2009a). Nonlinear Statistical Modeling of Speech. IEEE Section Meeting, Northern Virginia. MacLean, Virginia, USA. (Download).
  • Picone, J. (2008). Can You Say Hamburger in 6,000 Languages? The Mississippi School For Mathematics and Science. Columbus, Mississippi, USA. (Download).
  • Picone, J. (2006). National Security By The Numb3rs. The Mississippi School For Mathematics and Science. Columbus, Mississippi, USA. (Download).
  • Picone, J. (2005b). Speech Recognition: An Overview of Statistical Modeling of Acoustics. JHU Summer School on Human Language Technology. Baltimore, Maryland, USA. (Download).
  • Picone, J. (2005a). Human Language and Communication: Why is this research area still an important challenge? National Science Foundation: Human Language and Communication. Arlington, Virginia, USA. (Download).
  • Picone, J. (2004b). Introducing Human and Systems Engineering at the Center for Advanced Vehicular Systems. Department of Defense. Fort Meade, Maryland, USA. (Download).
  • Picone, J. (2004a). Applications of Risk Minimization to Speech Recognition. Department of Computer Science and Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003d). Applications of Risk Minimization to Speech Recognition. Signal Processing Group, International Business Machines (IBM). White Plains, New York, USA. (Download).
  • Picone, J. (2003c). ... Not Just Another Public Domain Software Project ... Department of Computer and Information Science, University of Alabama at Birmingham. Birmingham, Alabama, USA. (Download).
  • Picone, J. (2003b). Dude, Where Is My... Signals and Systems Textbook? IEEE Section Meeting, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003a). Applications of Risk Minimization to Speech Recognition. MIT Lincoln Laboratory. Lexington, Massachusetts, USA. (Download).
  • Picone, J. (2002e). Internet-Accessible Speech Recognition Technology. Department of Electrical and Computer Engineering, University of Texas at Dallas. Richardson, Texas, USA. (Download).
  • Picone, J. (2002d). Improving Recognition Performance in Noisy Environments. Summer Workshop Planning Meeting, Johns Hopkins Center for Language and Speech Processing. Baltimore, Maryland, USA. (Download).
  • Picone, J. (2002c). ... Not Just Another Public Domain Software Project ... Dallas Area Speech Technology Professionals Forum. Richardson, Texas, USA. (Download).
  • Picone, J. (2002b). Hidden Markov Models: A Hallucinatory Approach To Speech Recognition. Department of Cognitive Science, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2002a). Speech Recognition Technology: Commodity or Liability. Intervoice Technology Summit. Richardson, Texas, USA. (Download).
  • Baca, J. (2002). Research Challenges of Voice Dialog Systems. Department of Computer Science, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., Jelinek, B., & Picone, J. (2002). Sparse Methods for Continuous Speech Recognition. Information Technology Research Program Review, Brown University. Providence, Rhode Island. (Download).
  • Picone, J., Hamaker, J., & Ganapathiraju, A. (2002). Speech Recognition: Reasoning Under Uncertainty. Human Language Technology Conference, University of Texas at Dallas. Richardson, Texas, USA. (Download).
  • Picone, J. (2001c). Internet-Accessible Speech Recognition Technology. University of Texas at Dallas. Richardson, Texas, USA. (Download).
  • Picone, J. (2001b). Internet-Accessible Speech Recognition Technology. University of Texas at Dallas. Richardson, Texas, USA. (Download).
  • Picone, J. (2001a). Internet-Accessible Speech Recognition Technology. Michigan State University. Lansing, Michigan, USA. (Download).
  • Picone, J. (1999c). Human Language Technology Research. Starkville Academy. Starkville, Mississippi, USA. (Download).
  • Picone, J. (1999b). The ISIP Foundation Classes. Department of Defense. Fort Meade, Maryland, USA. (Download).
  • Picone, J. (1999a). Baum Welch Training. Department of Defense. Fort Meade, Maryland, USA. (Download).
  • Picone, J. (1998b). Public Domain Speech Recognition Technology. Media Technologies Laboratory, DSPS Research and Development Center, Texas Instruments. Dallas, Texas, USA. (Download).
  • Picone, J. (1998a). Recent Developments in ISIP-Aos LVCSR Activities. Department of Defense. Fort Meade, Maryland, USA. (Download).
  • Hamaker, J., & Shaffer, J. (1998). An Overview of Speech Research at ISIP. Starkville Kiwanis Club. Stamford, Connecticut, USA. (Download).
  • Picone, J. (1997b). An Overview of Speech Recognition Research at MS State. MS State Institutional Advancement Seminar. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1997a). Telecom-Related Activities in ISIP. International Engineering Consortium. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1989). Automated Speech Recognition: Hidden Markov Models and Beyond. IEEE Section Meeting, Dallas. Dallas, Texas, USA. (Download).

Presentations (Miscellaneous):
  • Shah, V. (2017). Deep Learning Approaches to Automate Seizure Detection. In PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University (p. 16). Philadelphia, Pennsylvania, USA. (Download).
  • Camaratta, J., Golmohammadi, M., Obeid, I., & Picone, J. (2017). AutoEEG: Automatic Interpretation of EEGs (p. 41). In Temple Innovation Showcase. Philadelphia, Pennsylvania, USA. (Download).
  • Camaratta, J. (2017). BioSignal Strategic Planning. In BioSignal Strategic Planning Meeting (p. 8). Philadelphia, Pennsylvania, USA. (Download).
  • Camaratta, J., Obeid, I., & Picone, J. (2017). Company Status. In Biosignal Analytics Board of Directors Annual Meeting (p. 5). Philadelphia, Pennsylvania, USA. (Download).
  • Camaratta, J., Obeid, I., & Picone, J. (2017). Automatic Seizure Detection on the TUH EEG Corpus (p. 5). In Persyst. Philadelphia, Pennsylvania, USA. (Download).
  • Camaratta, J., Obeid, I., & Picone, J. (2017). Phase II STTR Status. In Moberg ICU Solutions (p. 10). Ambler, Pennsylvania, USA. (Download).
  • Camaratta, J., Obeid, I., & Picone, J. (2017). Phase I STTR Status. In Moberg ICU Solutions (p. 4). Ambler, Pennsylvania, USA. (Download).
  • Gross, A. (2016). Functional Programming Overview. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • McHugh, J. (2016). Docker Overview. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Camaratta, J., Obeid, I., & Picone, J. (2016). BioSignal Analytics Inc. Overview. Angel Capital Association Annual Meeting (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Ziyabari, S. (2016). Signal Modeling Using Deep Neural Networks. In PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M. (2016). EEG Classification Using Long Short-Term Memory. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J., & Obeid, I. (2015). AutoEEG(TM): EEG Analytics from Big Data. In University City Science Center QED Breakfast. (Download).
  • Picone, J., & Obeid, I. (2015). Introducing ISIP and NEDC. In Pennsylvania Department of Transportation (PENNDOT), College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., ... Trejo, D. (2015). Weekly Reports - 06/15/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., ... Trejo, D. (2015). Weekly Reports - 06/08/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., ... Trejo, D. (2015). Weekly Reports - 05/29/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Jungreis, D. (2015). Medical Aspects of Our EEG Work. Seminar Series, Neural Engineering Data Consortium. Philadelphia, Pennsylvania, USA. (Download).
  • Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., ... Teles Dutra Goncalves, F. (2015). Weekly Reports - 05/22/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Albuquerque Parente, F. R., Candido Santana, L., Cotta, L. O., Da Rocha Garrit, P. H., Guimaraes Moura, A., Macedo Soares, J., ... Teles Dutra Goncalves, F. (2015). Weekly Reports - 05/15/2015. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M., Harati, A., Lopez, S., Obeid, I., Jacobson, M., & Tobochnik, S. (2014). Automatic Labeling of EEGs Using Deep Learning. Department of Neurology, Temple University Hospital. Philadelphia, Pennsylvania, USA. (Download).
  • Lu, S. (2013). Weekly Reports - 08/09/2013. ISIP Summer Research on Deep Learning, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Lu, S. (2013). Weekly Reports - 08/09/2013. ISIP Summer Research on Deep Learning, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Ward, C., Obeid, I., & Picone, J. (2013). Manual Interpretation of EEGs: A Machine Learning Perspective. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
  • Lu, S. (2013). Weekly Reports - 08/09/2013. ISIP Summer Research on Deep Learning, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Steinberg, J. (2013). A Comparative Analysis of Bayesian Nonparametric Variational Inference Algorithms for Phoneme Recognition. Department of Defense Technical Talk, Maryland, USA. (Download).
  • Harati, A. (2012b). Hierarchical Dirichlet Processes and Infinite HMMs. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A. (2012a). Quality Assessment of Search Terms in Spoken Term Detection. High Performance Computing Seminar, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Lu, S. (2012). Gesture and Sign Language Recognition. PhD Preliminary Exam, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2012). The Department of Electrical and Computer Engineering . Staff Retreat, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J., Bai, L., & Baran, G. (2012). The Department of Electrical and Computer Engineering. Lockheed Martin. Philadelphia, Pennsylvania, USA (Download).
  • Steinberg, J. (2012). An Introduction to Mandarin Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A. (2011). Hierarchical Dirichlet Processes. Seminar Series, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., & Picone, J. (2011). Quality Assessment of Search Terms in Spoken Term Detection. Seminar Series, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2011). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Steinberg, J. (2011). Mandarin Chinese Speech Recognition. Seminar Series, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010i). The Department of Electrical and Computer Engineering. Senior Vice Provost for Research. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010h). The Department of Electrical and Computer Engineering. Esperanza Academy. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010g). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010f). Faculty Retreat. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., & Santin, C. (2010e). Weekly Reports - 05/28/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010e). The Department of Electrical and Computer Engineering. Senior Vice Provost for Research. Philadelphia, Pennsylvania, USA. (Download).
  • Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., & Santin, C. (2010d). Weekly Reports - 06/04/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010d). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., & Santin, C. (2010c). Weekly Reports - 05/21/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010c). The Department of Electrical and Computer Engineering. Staff Retreat, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., & Santin, C. (2010b). Weekly Reports - 06/11/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010b). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Ahmed, M., Fava, G., Keyes, R., Moscato, A., Mushaeva, I., Shukla, J., & Santin, C. (2010a). Weekly Reports - 06/18/2010. ISIP Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2010a). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Cohen, R., Higgins, F., Picone, J., & Shah, S. (2010). Emerging Directions in Senior Design: Towards a Multidisciplinary Design Experience. Faculty Retreat, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Gro, J., Moscato, A., Mushaeva, I., & Picone, J. (2010). Introduction to Electrical and Computer Engineering: Towards Autonomous Robots. WE2 Summer Workshop, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009j). Why Study Engineering at Temple? Open House, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009i). The Department of Electrical and Computer Engineering . Rowan University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009h). The Department of Electrical and Computer Engineering at Temple University. Entreprise of RhCollegene-Alpes International Engineering (ERAI). Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009g). Department Vision. Department of Electrical and Computer Engineering, University of South Florida. Tampa, Florida, USA. (Download).
  • Picone, J. (2009f). The Department of Electrical and Computer Engineering . Naval Surface Warfare Center. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009e). Potential Synergies Between Speech Recognition and Proteomics. Life Sciences and Biotechnology Institute, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2009d). The Department of Electrical and Computer Engineering . ECE Industrial Advisory Council. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009c). Recognition of Nonstationary Signals. Miltec Research and Technology. Oxford, Mississippi, USA. (Download).
  • Picone, J. (2009b). Faculty Retreat. Department of Electrical and Computer Engineering, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2009a). The Department of Electrical and Computer Engineering. Board of Visitors, College of Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J., Saddow, S., Koshka, Y., & Neretina, S. (2009). Biocompatable Materials Institute. Planning Workshop, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Ma, T. (2008). Linear Dynamic Model (LDM) for Automatic Speech Recognition. Intel. Santa Clara, California, USA. (Download).
  • May, D. (2008). Nonlinear Dynamic Invariants for Continuous Speech Recognition. SAIC. MacLean, Virginia, USA. (Download).
  • Lee, S. (2006f). Software Release and Support Vector Machines. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Lee, S. (2006e). RVM Implementation Progress. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Lee, S. (2006d). On a Utility for Speaker Verification. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • May, D. (2006d). Phone Discrimination Using Correlation Dimension Invariant. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Lee, S. (2006c). Speaker Recognition Using Nonlinear Invariants. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • May, D. (2006c). Release Progress. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Pannuri, M. (2006c). Mutual Information and Dimension Estimation. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Suh, J.-W. (2006c). Speaker Verification System using SVM. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Lee, S. (2006b). Research Update. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • May, D. (2006b). Release Progress Report. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Pannuri, M. (2006b). Dimension on speech. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Prasad, S. (2006b). Dynamical Invariants from a Time Series. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Suh, J.-W. (2006b). Progress on the Speech Recognition Search Demo. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Lee, S. (2006a). Discrimination Measure from Speech Signal. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • May, D. (2006a). Grammar Transformation Support in the IFC Language Model Classes. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Pannuri, M. (2006a). Correlation Dimension. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Prasad, S. (2006a). Estimating Kolmogorov Entropy from Acoustic Attractors from a Recognition Perspective. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Suh, J.-W. (2006a). Research Update. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Copeland, T. (2006). A Tutorial on IES Standards for Microsoft Word. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Ma, T. (2006). Research Update. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Prasad, S., & Srinivasan, S. (2006). Dynamical Invariants for Speech Recognition - Plans for Summer 2006. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Srinivasan, S. (2006). Research Update. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Porandla, S., & Gao, D. (2005c). Using ADVISOR 2.0. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Mathews, J., & Gao, D. (2005b). The GME Modeling Process. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Porandla, S., & Gao, D. (2005b). Final Report on Automotive Powertrain Systems. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Mathews, J., & Gao, D. (2005a). The Bond Graph Methodology for Modeling of Continuous Dynamic Systems. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Porandla, S., & Gao, D. (2005a). Optimization of Hybrid Powertrain using DIRECT Algorithm. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Jenkins, W., Lewis, R., Lazarou, G., Picone, J., & Rowland, Z. (2005). Real-Time Vehicle Performance Monitoring Using Wireless Networking. Diversified Technology Incorporated. Mississippi State, Mississippi, USA. (Download).
  • Lazarou, G., & Picone, J. (2005). Intelligent Electronic Systems: Integrating Electronics, Communications and Signal Processing. Nissan Technical Center, Nissan Corporation. Yokohama, Japan. (Download).
  • Musunuri, S., Mathews, J., & Gao, D. (2005). Introduction to Generic Modeling Environment. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Patil, S., & Irwin, R. (2005). Introduction to Particle Filtering. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Raghavan, S., & Picone, J. (2005). Confidence Measures Using Word Posteriors and Word Graphs. Seminar Series, Center for Intelligent Electronic Systems. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004n). Capabilities For Intelligent Electronic Systems: Real-time Extraction of Information From Signals. Georgia Tech Research Institute. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004m). Intelligent Transportation Systems: Integrating Electronics, Communications and Signal Processing. National Automotive Center. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004l). Capabilities For Intelligent Electronic Systems: Real-time Extraction of Information From Signals. Program Review, George Lea,National Science Foundation (Retired). Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004k). Homeland Security Update: Emergency Response, Border Security, US Visit. John Keast, Chief of Staff, Representative R. Wicker. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004j). Introducing Human and Systems Engineering at the Center for Advanced Vehicular Systems. Operation Respond, Inc. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004i). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. Nissan North America, Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004h). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004g). Homeland Security Update: Emergency Response, Border Security, US Visit. Mark Keenum, Chief of Staff, U.S. Senator T. Cochran. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004f). Risk Minimization in Speech Recognition. Department of Electrical and Computer Engineering, Oklahoma State University. Stillwater, Oklahoma, USA. (Download).
  • Picone, J. (2004e). Risk Minimization in Speech Recognition. Department of Electrical and Computer Engineering, University of Wyoming. Laramie, Wyoming, USA. (Download).
  • Picone, J. (2004d). Intelligent Transportation Systems: Integrating Electronics, Communications and Signal Processing. American Truckers Association. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Lazarou, G. (2004d). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. Dynetics. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004c). Human Language Technology: Advanced Statistical Modeling With Applications in Biometrics. Accenture. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Lazarou, G. (2004c). Intelligent Electronic Systems: Intelligent Systems With Applications in Homeland Security. Department of Homeland Security, State of Mississippi. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004b). Statistical Modeling of Speech: Bridging the Gap in Human and Machine Performance. Ncycles. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Lazarou, G. (2004b). Intelligent Transportation Systems : Campus Bus Networking. Information Technology Services, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004a). Introducing Intelligent Electronic Systems at the Center for Advanced Vehicular Systems. Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Lazarou, G. (2004a). Joint Congressional Initiatives. Diversified Technology Incorporated. Ridgeland, Mississippi, USA. (Download).
  • Baca, J. (2004). Spoken Language Dialog Systems. Seminar Series, Department of Computer Science and Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Parihar, N., & Picone, J. (2004). Performance Analysis of Advanced Front Ends on the Aurora Large Vocabulary Evaluation. Graduate Student Association, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Patil, S. (2004). Comments on The Unscented Particle Filter. Seminar Series, Center for Advanced Vehicular Systems. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Brocato, J. (2004). Righting Right and Wording Better. Seminar Series, Center for Advanced Vehicular Systems. Mississippi State,Mississippi, USA. (Download).
  • Picone, J., Haupt, T., & Rowland, Z. (2004). Human and Systems Engineering: Bridging the Gap Between Human and Machine Performance. American Truckers Association. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., Hill, C., Vaughn, R., Johnston, M., & Waggoner, C. (2004). Capabilities in Information Management for First Responders. Operation Respond, Inc. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003f). New Graduate Student Orientation: Introduction to ISIP. New Graduate Student Orientation, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003e). Institute for Signal and Information Processing. University of Mississippi Medical Center. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003d). Institute for Signal and Information Processing. Congressional Staff Federal Initiatives. Mississippi State, Mississippi. USA. (Download).
  • Picone, J. (2003c). Capabilities for Intelligent Electronic Systems. Department of Homeland Security. Mississippi State, Mississippi, USA. (Download).
  • Parihar, N. (2003b). Signal Processing for Client/Sever Applications in Next Generation Cellular Telephony. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Miss. (Download).
  • Picone, J. (2003b). Intelligent Systems Research at MS State. Congressional Staff Federal Initiatives. Mississippi State, Mississippi, USA. (Download).
  • Parihar, N. (2003a). An Analysis of the Aurora Large Vocabulary Evaluations. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003a). Institute for Signal and Information Processing. Department of Electrical and Computer Engineering, University of Texas at San Antonio. Mississippi State, Mississippi, USA. (Download).
  • Alphonso, I. (2003). Hybrid Systems for Continuous Speech Recognition. Tellme. Mountain View, California, USA. (Download).
  • Baca, J. (2003). Overview of Voice Dialog Research in CAVS. Advisory Board, Department of Computer Science, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Baca, J., & Picone, J. (2003). Voice Dialog Systems. Open House, Center for Advanced Vehicular Systems. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (2003). A Sparse Modeling Approach to Speech Recognition Using Kernel Machines. Microsoft. Redmond, Washington, USA. (Download).
  • Lazarou, G., Molen, G. M., & Picone, J. (2003). Initiative for Intelligent Electronic Systems. Diversified Technology Incorporated. Ridgeland, Mississippi, USA. (Download).
  • Picone, J., & Mazzola, M. (2003). Collaborations in Intelligent Electronics Systems. Annual Retreat, Center for Advanced Vehicular Systems. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., Mazzola, M., Molen, G. M., & Baca, J. (2003). An Overview of Intelligent Systems Research at MS State. Human Language and Communication, National Science Foundation. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2002b). Intelligent Systems Research at MS State. Naval Meteorology and Oceanography Command, Stennis Space Center. Hancock County, Mississippi, USA. (Download).
  • Picone, J. (2002a). Human Language Technology Initiative. Congressional Staff Federal Initiatives. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (2002). A Probabilistic Analysis of the Unfair Euro Coin. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Lazarou, G. (2002). Intelligent Systems Research at MS State. Nissan Corporation. Yokohama, Japan. (Download).
  • Zheng, F. (2002). An In-Vehicle Dialog System. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2001b). Not Just Another Public-Domain Software Project. Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
  • Srivastava, S. (2001b). Fast Gaussian Evaluations in Large Vocabulary Continuous Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2001a). ISIP Overview. Nissan Corporation. Mississippi State, Mississippi, USA. (Download).
  • Srivastava, S. (2001a). A K-Dimensional Binary Search Tree and Its Optimization. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Jelinek, B. (2001). Resource Management System. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Zheng, F. (2001). Towards 10x Real-Time System. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (2000). The ISIP Public-Domain LVCSR System. Human Language Technology, International Business Machines (IBM). White Plains, New York, USA. (Download).
  • Duncan, R., & Picone, J. (1999c). A String Object. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Brown, R. (1999b). An Overview Of Engineering in the ISIP Environment. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R. (1999b). ISIP System Library II. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R., & Picone, J. (1999b). ISIP System Library. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Brown, R. (1999a). Java Applets. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R. (1999a). Parameter Parsing. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R., & Picone, J. (1999a). The ISIP System Library - Part II. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
  • Alphonso, I. (1999). ISIP Foundation Classes. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1999). Successful Research Strategies. MS State Faculty Development. Mississippi State, Mississippi, USA. (Download).
  • Srivastava, S. (1999). The Software Engineering Process at ISIP. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J., & Wu, Y. (1999). ISIP ASR Deliverables. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R. (1998c). Signal Object Files. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N., & Ganapathiraju, A. (1998b). Future Directions in the Trace Projection Decoder. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R. (1998b). Software Management Using Concurrent Versions System (CVS). Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (1998b). Crossword Decoding in the ISIP Recognizer. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J. (1998b). N-Gram Decoding and Lattice Generation. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N., & Ganapathiraju, A. (1998a). Review of the DARPA Broadcast News Workshop. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R. (1998a). Software Management Using Concurrent Versions System (CVS) - Part II. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (1998a). New Approaches for Scenic Beauty Estimation. Digital Image Processing Final Project. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J. (1998a). Lattice Generation. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
  • Alphonso, I., & Mantha, V. (1998). ISIPs New Web Site. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Balakrishnama, S., & Le, A. (1998). Scenic Beauty Estimation of Forestry Images. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A. (1998). Introduction To Support Vector Machines. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Godfrey, J. (1998). Phonetics for Speech Technology. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1998). Internet Accessible Speech Recognition Technology. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Deshmukh, N. (1998). ICASSP99 Preview. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., Ganapathiraju, A., Deshmukh, N., & Zeng, Y. (1998). Towards Public Domain Speech To Text Technology. MS State Alumni Fellows. Mississippi State, Mississippi, USA. (Download).
  • Wiggins, R. (1998). DSP Markets - Trends and Challenges. Seminar Series, Department of Electrical and Computer Engineering, Mississippi State University. Mississippi State, Mississippi, USA. (Download).
  • Zeng, Y. (1998). The SWITCHBOARD Project Review. Seminar Series, Institute for Signal and Information Processing. Philadelphia, Pennsylvania, USA. (Download).
  • Zhang, X., & Wu, Y. (1998). HMM Training. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1997d). Introducing ISIP. State of Mississippi Legislator Briefing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1997c). Parameter Trajectory Modeling in Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N. (1997b). Neural Networks And Pronunciations. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A. (1997b). A Review of the Summer Workshop on Innovative Techniques for LVCSR. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (1997b). Alphadigit Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1997b). Recent Progress in ISIP. MS State External Research Advisory Committee. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N. (1997a). Decoder Strategies. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A. (1997a). Syllable-Based Speech Recognition. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J. (1997a). Switchboard Resegmentation. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1997a). Introducing ISIP. MS State External Research Advisory Committee. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R. (1997). A Unix Based Telephone Speech Data Collection System. Seminar Series, Institute for Signal and Information Processing. Miss. (Download).
  • Kalidindi, N. (1997). Scenic Beauty Estimation of Forestry Images. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Le, A. (1997). The 1997 Hub-4E Evaluation Test Data Selection. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Ngan, J. (1997). Voice Interfaces For Navigating Graphical Information. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., Ganapathiraju, A., Hamaker, J., & Shaffer, J. (1997). Introducing ISIP. MS State Presidential Program Review. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., Hamaker, J., & Shaffer, J. (1997). An Overview of Speech Recognition Research at MS State. NSF Program Review. Mississippi State, Mississippi, USA. (Download).
  • Shaffer, J. (1997). Web-Based Signal Processing Tools. Seminar Series, Institute for Signal and Information Processing. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Boggess, L. (1996). Intelligent Systems Research Group. DARPA Intelligent Tutoring Program Review. Mississippi State, Mississippi, USA. (Download).

PhD Dissertations:
  • Harati, A. (2015). Nonparametric Bayesian Approaches for Acoustic Modeling. Temple University. (Download).
  • Napoli, A. (2014). Dissociated Neuronal Networks and Microelectrode Arrays for Investigating Brain Functional Evolution and Plasticity. Temple University. (Download).
  • Elaraby, N. (2014). Architecture Design for a Neural Spike-Based Data Reduction Platform Processing Thousands of Recording Channels. Temple University. (Download).
  • Thurston, D. (2012). A Proactive Approach to Train Control. Temple University. (Download).
  • Lee, J.-H. (2011). Tactile sensation imaging system and algorithms for tumor detection. Temple University. (Download).
  • Mountney, J. (2011). Particle Filtering Programmable Gate Array Architecture for Brain Machine Interfaces. Temple University. (Download).
  • Ma, T. (2010). Linear dynamic model for continuous speech recognition. Mississippi State University. (Download).
  • Srinivasan, S. (2010). A nonlinear mixture autoregressive model for speaker verification. Mississippi State University. (Download).
  • Colavito, L. (2009). Evaluation of space-time block codes under controlled fading conditions using hardware simulation. Temple University. (Download).
  • Ganapathiraju, A. (2002). Support vector machines for speech recognition. Mississippi State University. (Download).
  • Baca, J. (1998). Displayless interface access to spatial data: Effects on speaker prosodics. Mississippi State University. (Download).
  • Sukkar, R. (1987). LPC speech: Voiced excitation, arithmetic processing, and linear filtering. Illinois Institute of Technology. (Download).
  • Picone, J. (1983). Analytic Signal Processing. Illinois Institute of Technology. (Download).

MS Theses:
  • Bernal, V. (2018). Gesture Recognition in Tennis Biomechanics. Temple University. (Download).
  • Lopez, S. (2017). Automated Identification of Abnormal EEGs. Temple University. (Download).
  • Franz, E. (2014). Development of a Fast and Efficient Algorithm for P300 Event Related Potential Detection. Temple University. (Download).
  • Sahu, A. (2013). Hyperspectral Imaging to Discern Malignant and Benign Canine Mammary Tumors. Temple University. (Download).
  • Tufts, C. (2013). Estimating Parameters of a Multi-Class Izhikevich Neuron Model to Investigate the Mechanisms of Deep Brain Stimulation . Temple University. (Download).
  • Steinberg, J. (2013). A Comparative Analysis of Bayesian Nonparametric Variational Inference Algorithms For Speech Recognition. Temple University. (Download).
  • Anifowose, O. (2011). Design of a keyword spotting system using modified cross-correlation in the time and the MFCC domain. Temple University. (Download).
  • Kanneganti, S. (2011). Design of an automatic word boundary detection system using the counting rule. Temple University. (Download).
  • Karmacharya, P. (2011). Design of Keyword Spotting System Based on Segmental Time Warping of Quantized Features. Temple University. (Download).
  • Li, Z. (2011). A multi-agent based approach for solving the redundancy allocation problem. Temple University. (Download).
  • Guan, L. (2010). Face recognition with visible and thermal IR images. Temple University. (Download).
  • May, D. (2008). Nonlinear dynamic invariants for continuous speech recognition. Mississippi State University. (Download).
  • Crocker, M. (2006). A bandwidth estimation method for IP version 6 networks. Mississippi State University. (Download).
  • Jenkins, W. (2006). Real-time vehicle performance monitoring with data integrity. Mississippi State Univeersity. (Download).
  • Raghavan, S. (2006). Applications of large vocabulary continuous speech recognition to fatigue detection. Mississippi State University. (Download).
  • Stanley, T. (2006). A robust architecture for human language technology systems. Mississippi State University. (Download).
  • Rajan, S. (2005). Dynamically controllable applications for wireless sensor networks. Mississippi State University. (Download).
  • Li, J. (2004). A bit-map-assisted energy-efficient MAC scheme for Wireless Sensor Networks. Mississippi State University. (Download).
  • Alphonso, I. (2003). Network training for continuous speech recognition. Mississippi State University. (Download).
  • Parihar, N. (2003). Performance analysis of advanced front ends on the Aurora Large Vocabulary Evaluation. Mississippi State University. (Download).
  • Sundaram, R. (2003). Effects of transcription errors on supervised learning in speech recognition. Mississippi State University. (Download).
  • Selvaraj, M. (2002). Scheduling for proportional differentiated services on the Internet. Mississippi State University. (Download).
  • Srivastava, S. (2002). Fast Gaussian evaluations in large vocabulary continuous speech recognition. Mississippi State University. (Download).
  • Zheng, D. (2002). On the modeling of TCP latency and throughput. Mississippi State University. (Download).
  • Long, Z. (2001). The design and implementation of an image segmentation system for forest image analysis. Mississippi State University. (Download).

MS Projects:
  • Tabrizi, M. (2014). A Comparative Analysis of Nonlinear Features for an HMM-Based Seizure Detection System. Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Hamaker, J. (2000). Automatic Learning of Hidden Markov Model Topologies Using Information Theoretic Approaches. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
  • Zeng, Y. (2000). Dynamic Time Warping Digit Recognizer. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
  • Balakrishnama, S. (1999). Statistical Normalization Functions for Signal Processing. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
  • Le, A. (1998). Bayesian Decision Tree for Classification of Nonlinear Signal Processing Problems. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
  • Ngan, J. (1998). Information Theory Based Decision Trees for Data Classification. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A. (1997). Analysis and Characterization of Fast Fourier Transform Algorithms. Mississippi State University, Mississippi State, Mississippi, USA. (Download).
  • Kalidindi, N. (1997). Scenic Beauty Estimation of Forestry Images. Mississippi State University, Mississippi State, Mississippi, USA. (Download).

Reports:
  • Ferrell, S., Jakielaszek, L., Elseify, T., & Picone, J. (2018). The Temple University Hospital EEG Corpus: Annotation File Formats. Philadelphia, Pennsylvania, USA. (Download).
  • Ferrell, S., Mathew, V., Ahsan, T., & Picone, J. (2018). The Temple University Hospital EEG Corpus: Electrode Location and Channel Labels. Philadelphia, Pennsylvania, USA. (Download).
  • Coe, J., Abboud, B., & Picone, J. (2017). PennDOT: Highway Incident Timeline Detection. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., Picone, J., & Harabagiu, S. (2017). Automatic discovery and processing of EEG cohorts from clinical records. Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M. (2017). STTR Phase I: Real-time Automatic Analysis of Electroencephalograms in an Intensive Care Environment Using Deep Learning. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2016). NSF ICORPS Team: AutoEEG. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., Picone, J., & Harabagiu, S. (2016). Automatic discovery and processing of EEG cohorts from clinical records. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2016). The Neural Engineering Data Consortium: Building Community Resources to Advance Research. Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M., & Picone, J. (2016). STTR Phase I: Real-time Automatic Analysis of Electroencephalograms in an Intensive Care Environment Using Deep Learning (Progress: 20161101). Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M., & Picone, J. (2016). STTR Phase I: Real-time Automatic Analysis of Electroencephalograms in an Intensive Care Environment Using Deep Learning (Progress: 20161201). Philadelphia, Pennsylvania, USA. (Download).
  • Won, C.-H., & Picone, J. (2016). TUES 1: Enhancing an Open Laboratory­Based Circuits Experience with a Virtual Laboratory Assistant. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2015). Neural Engineering Data Consortium. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2015). Big Data Archive for EEG Brain Machine Interface. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., Jacobson, M., & Picone, J. (2015). Automatic Generation of EEG Reports Using Deep Learning (Progress: 20150531). Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., Jacobson, M., & Picone, J. (2015). Automatic Generation of EEG Reports Using Deep Learning. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2014). Neural Engineering Data Consortium. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., Jacobson, M., & Picone, J. (2014). Automatic Generation of EEG Reports Using Deep Learning. Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2014). Big Data Archive for EEG Brain Machine Interface. Philadelphia, Pennsylvania, USA. (Download).
  • Picone, J. (2013). The Neural Engineering Data Consortium / Fundamentals of Speech Recognition (pp. 1-27). Philadelphia, Pennsylvania, USA. (Download).
  • Obeid, I., & Picone, J. (2013). Big Data Archive for EEG Brain Machine Interface. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., & Picone, J. (2012). Keyword Search Assessment. Philadelphia, Pennsylvania, USA. (Download).
  • Williams, C., Godbold, G., & Picone, J. (2009b). Portable Medical Voice Recorder. Oxford, Mississippi, USA. (Download).
  • Williams, C., Godbold, G., & Picone, J. (2009a). Portable Medical Voice Recorder. Oxford, Mississippi, USA. (Download).
  • Lazarou, G., & Picone, J. (2009). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
  • Lazarou, G., & Picone, J. (2008). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
  • Lazarou, G., & Picone, J. (2007). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2006b). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2006a). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Baca, J., Lazarou, G., & Picone, J. (2006). Faculty Activity Report. Mississippi State, Mississippi, USA. (Download).
  • Lazarou, G., & Picone, J. (2006). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
  • Baca, J., Lazarou, G., & Picone, J. (2005). Faculty Activity Report. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2005). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Picone, J., & Lazarou, G. (2005). Nonlinear Statistical Modeling of Speech. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2004). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2003). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2002b). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2002a). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., & Picone, J. (2002). A Proposal for a Standard Partitioning of the OGI Alphadigits Corpus. Mississippi State, Mississippi, USA. (Download).
  • Parihar, N., & Picone, J. (2002). DSR Front End LVCSR Evaluation AU/384/02. Mississippi State, Mississippi, USA. (Download).
  • Alphonso, I., Deitenbeck, E., Huang, K., Parihar, N., & Picone, J. (2001c). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Zheng, F., & Picone, J. (2001c). Robust Low Perplexity Voice Interfaces. Mississippi State, Mississippi, USA. (Download).
  • Alphonso, I., Deitenbeck, E., Huang, K., Parihar, N., & Picone, J. (2001b). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2001b). Information Access to Spoken Documents. Mississippi State, Mississippi, USA. (Download).
  • Zheng, F., & Picone, J. (2001b). Robust Low Perplexity Voice Interfaces. Mississippi State, Mississippi, USA. (Download).
  • Alphonso, I., Deitenbeck, E., Huang, K., Parihar, N., & Picone, J. (2001a). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2001a). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
  • Zheng, F., & Picone, J. (2001a). Robust Low Perplexity Voice Interfaces. Mississippi State, Mississippi, USA. (Download).
  • Deitenbeck, E., Jelinek, B., Parihar, N., Sundaram, R., & Picone, J. (2001). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Parihar, N., & Picone, J. (2001). DSR Front End LVCSR Evaluation - Baseline Recognition System Description. Mississippi State, Mississippi, USA. (Download).
  • Roberts, C., & Picone, J. (2001). Bulldog Stock Exchange. Mississippi State, Mississippi, USA. (Download).
  • Long, Z., & Picone, J. (2000b). Application of Forest Image Analysis to Monitoring and Modeling of Psychological, Silvicultural, and Wildlife Habitat Attributes. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2000b). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
  • Long, Z., & Picone, J. (2000a). Application of Forest Image Analysis to Monitoring and Modeling of Psychological, Silvicultural, and Wildlife Habitat Attributes. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (2000a). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Aragh, J., Deitenbeck, E., Hamaker, J., Zheng, F., & Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J., Ganapathiraju, A., Mantha, V., Hamaker, J., & Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J., Sundaram, R., Mantha, V., Hamaker, J., & Picone, J. (2000). Enhanced Acoustic Modeling for a Free Speech to Text System. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Zhao, J., Hamaker, J., & Picone, J. (1999h). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Zhao, J., Hamaker, J., & Picone, J. (1999g). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Zhao, J., Hamaker, J., & Picone, J. (1999f). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Zhao, J., Hamaker, J., & Picone, J. (1999e). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Zhao, J., Hamaker, J., & Picone, J. (1999d). An Internet-Based Public Domain Speech-to-Text Toolkit. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Deshmukh, N., Zhao, J., Zhang, X., Wu, Y., Hamaker, J., & Picone, J. (1999c). The ISIP Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Mississippi State, Mississippi, USA. (Download).
  • Long, Z., & Picone, J. (1999c). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Deshmukh, N., Zhao, J., Zhang, X., Wu, Y., Hamaker, J., & Picone, J. (1999b). The ISIP Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Mississippi State, Mississippi, USA. (Download).
  • Long, Z., & Picone, J. (1999b). Application of Forest Image Analysis to Monitoring and Modeling of Psychological, Silvicultural, and Wildlife Habitat Attributes. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Deshmukh, N., Zhao, J., Zhang, X., Wu, Y., Hamaker, J., & Picone, J. (1999a). The ISIP Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Mississippi State, Mississippi, USA. (Download).
  • Long, Z., & Picone, J. (1999a). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
  • Duncan, R., & Picone, J. (1999). A UNIX Based Telephone Speech Data Collection System. Mississippi State, Mississippi, USA. (Download).
  • Mantha, V., Hamaker, J., Deshmukh, N., Ganapathiraju, A., & Picone, J. (1999). Improved Monosyllabic Word Modeling on Switchboard. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1999). Internet Accessible Speech Technology. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J., Hamaker, J., Deshmukh, N., Ganapathiraju, A., & Picone, J. (1999). Fast Recognition Techniques for Large Vocabulary Speech Recognition. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N., Ganapathiraju, A., Hamaker, J., & Picone, J. (1998b). An Efficient Public Domain LVCSR Decoder. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., Deshmukh, N., Ganapathiraju, A., & Picone, J. (1998b). Improved Monosyllabic Word Modeling. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N., Ganapathiraju, A., Hamaker, J., & Picone, J. (1998a). An Efficient Public Domain LVCSR Decoder. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., Deshmukh, N., Ganapathiraju, A., & Picone, J. (1998a). Improved Monosyllabic Word Modeling. Mississippi State, Mississippi, USA. (Download).
  • Balakrishnama, S., & Ganapathiraju, A. (1998). Linear Discriminant Analysis - A Brief Tutorial. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A. (1998). Support Vector Machines - A First Look. Mississippi State, Mississippi, USA. (Download).
  • Kalidindi, N., Ramani, V., & Picone, J. (1998). Scenic Beauty Estimation of Forestry Images. Mississippi State, Mississippi, USA. (Download).
  • Ramani, V., & Picone, J. (1998). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
  • Shaffer, J., Deshmukh, N., Ganapathiraju, A., Hamaker, J., & Picone, J. (1998). Revised Switchboard Transcription Conventions. Mississippi State, Mississippi, USA. (Download).
  • Zhao, J., Hamaker, J., & Picone, J. (1998). Fast Recognition Techniques for Large Vocabulary Recognition. Mississippi State, Mississippi, USA. (Download).
  • Brown, R., Balakrishnama, S., & Picone, J. (1997). Scenic Beauty Estimation using Linear Discriminant Analysis. Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N., Le, A., & Picone, J. (1997). Advances in Automatic Generation of Multiple Pronunciations for Proper Nouns. Mississippi State, Mississippi, USA. (Download).
  • Ganapathiraju, A., Hamaker, J., Picone, J., & Skjellum, A. (1997). Analysis and Characterization of Fast Fourier Transform Algorithms. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., & Picone, J. (1997). Interactive Frequency Response Analysis of Linear Systems Using Poles and Zeros. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., Ganapathiraju, A., & Picone, J. (1997). Syllable-Based Speech Recognition. Mississippi State, Mississippi, USA. (Download).
  • Kalidindi, N., & Picone, J. (1997). Scenic Beauty Estimation of Forestry Images. Mississippi State, Mississippi, USA. (Download).
  • Ngan, J., & Picone, J. (1997). An Automatic Pronunciation Dictionary Database Generation Tool. Mississippi State, Mississippi, USA. (Download).
  • Shaffer, J., & Picone, J. (1997). Spectrum Analysis Using Java. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., Duncan, R., & Picone, J. (1996b). The JEIDA Common Speech Data Corpus. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1996b). Preparation of the JEIDA Japanese Common Speech Data Corpus. Mississippi State, Mississippi, USA. (Download).
  • Hamaker, J., Duncan, R., & Picone, J. (1996a). The JEIDA Common Speech Data Corpus (Users Guide). Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1996a). A Sun Sparcstation-Based Speech Data Collection Platform (01/31/1996). Mississippi State, Mississippi, USA. (Download).
  • Deshmukh, N., & Picone, J. (1996). Automatic Generation of N-Best Proper Noun Pronunciations. Mississippi State, Mississippi, USA. (Download).
  • Kalidindi, N., Le, A., & Picone, J. (1996). The USFS Scenic Beauty Estimation Database. Mississippi State, Mississippi, USA. (Download).
  • Weber, M., & Picone, J. (1996). Voice Interface to an On-Line Dictionary. Mississippi State, Mississippi, USA. (Download).
  • Wheeler, E., & Picone, J. (1996). Graphical Convolution in Java. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1995d). Preparation of the JEIDA Japanese Common Speech Data Corpus (09/30/1995). Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1995c). A Sun Sparcstation-Based Speech Data Collection Platform. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1995b). Preparation of the JEIDA Japanese Common Speech Data Corpus (06/30/1995). Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1995a). A Sun Sparcstation-Based Speech Data Collection Platform (06/30/1995). Mississippi State, Mississippi, USA. (Download).
  • Kojima, M., Picone, J., & Kato, S. (1992). The Japanese Voice Dialer Database (pp. 1-15). Tsukuba, Japan. (Download).
  • Picone, J., Staples, T., & Kondo, K. (1992). A Statistical Approach to Kanji to Hiragana Conversion (pp. 1-21). Tsukuba, Japan. (Download).
  • Picone, J. (1991). On the Precision Requirements of Signal Interpolators For High Quality Audio Systems (pp. 1-43). Dallas, Texas, USA. (Download).
  • Picone, J., & Wheatley, B. (1991). A Specification For A Digital Audio Interface (pp. 1-14). Dallas, Texas, USA. (Download).
  • Picone, J., Wheatley, B., & McDaniel, J. (1991). On the Intelligibility of Text-To-Speech Synthesis of Surnames (pp. 1-34). Dallas, Texas, USA. (Download).
  • Long, Z., & Picone, J. (1990). Applications of High Performance Statistical Modeling to Image Analysis of Forest Structure. Mississippi State, Mississippi, USA. (Download).
  • Picone, J. (1989b). A Functional Specification for SDF_SOFT: Speech Data File Software (pp. 1-12). Dallas, Texas, USA. (Download).
  • Picone, J. (1989a). A Functional Specification for SDB_SOFT: Speech Database Software (pp. 1-3). Dallas, Texas, USA. (Download).
  • Picone, J. (1988). Towards an Integrated Research and Development Environment for Signal Processing (pp. 1-18). Dallas, Texas, USA. (Download).

Web Pages:
  • Picone, J. (2009). Department Chair Welcome Message. Department of Electrical and Computer Engineering, College of Engineering, Temple University. (Download).
  • McHugh, J. R., Picone, J., & Obeid, I. (2017). The TUH EEG Epilepsy Corpus. (Download).
  • Choi, S. I., Lopez, S., Obeid, I., Jacobson, M., & Picone, J. (2017). The Temple University Hospital EEG Corpus. (View).
  • Bergey, S., & Picone, J. (2017). A Description of the EDF Header. (Download).

Unpublished Books:
  • Picone, J. (2008). Statistical Optimization in Speech Recognition (First.). Elkins Park, Pennsylvania: PiconePress.com. (Download).

Unpublished Journals (Refereed):
  • Ziyabari, S., Shah, V., Golmohammadi, M., Obeid, I., & Picone, J. (2018). Objective Evaluation Metrics for Automatic Classification of EEG Events. Journal of Neural Engineering, 1–19. (Download).
  • Shah, V., Von Weltin, E., Lopez, S., Golmohammadi, M., Ziyabari, S., Obeid, I., & Picone, J. (2018). The TUH EEG Seizure Corpus. Frontiers in Neuroscience. (Download).
  • Golmohammadi, M., Torbati, A. H. H. N., Lopez, S., Obeid, I., & Picone, J. (2018). Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures. Journal of Clinical Neurophysiology, 1-30. (Download).
  • Shah, V., von Weltin, E., Ahsan, T., Ziyabari, S., Golmohammadi, M., Obeid, I., & Picone, J. (2017). A Cost-effective Method for Generating High-quality Annotations of Seizure-Events. Journal of Clinical Neurophysiology. (Download).
  • Saleheen, F., Butz, B., Picone, J., & Won, C.-H. (2016). A Virtual Teaching Assistant for an Open Circuits Laboratory. ASEE Journal of Engineering Education. (Download).
  • Saleheen, F., Butz, B., Picone, J., & Won, C.-H. (2016). A Web-based Virtual Teaching Assistant for an Open Circuits Laboratory: Design, Implementation, and Outcome Evaluation. Journal of Computer-Aided Education. (Download).
  • Saleheen, F., Butz, B., Picone, J., & Won, C.-H. (2015). Effectiveness of Virtual Teaching Assistant Software for Circuits Open Laboratory. IEEE Transactions on Education. (Download).
  • Harati, A., & Picone, J. (2015). A Doubly Hierarchical Dirichlet Process Hidden Markov Model with a Non-Ergodic Structure. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Download).
  • Parker, D., Picone, J., Harati, A., Lu, S., Jenkyns, M., & Polgreen, P. (2012). Detecting Pertussis Cases Using Voice Recognition Technology. Journal of Infectious Disease. (Download).
  • Harati, A., & Picone, J. (2012). Predicting Search Words Performance for Spoken Term Detection Systems. IEEE Transactions on Audio, Speech and Language Processing. (Download).
  • Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2010b). Robust Speaker Verification Using a Nonlinear Autoregressive Model. IEEE Signal Processing Letters. (Download).
  • Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2010a). A Nonlinear Mixture Autoregressive Model for Speaker Verification. IEEE Transactions on Audio, Speech and Language Processing. (Download).
  • Ma, T., Srinivasan, S., May, D., Lazarou, G., & Picone, J. (2010). Continuous Speech Recognition Using Linear Dynamic Models. IEEE Signal Processing Letters. (Download).
  • Ma, T., Srinivasan, S., May, D., Lazarou, G., & Picone, J. (2009). Robust Speech Recognition Using Linear Dynamic Models. IEEE Signal Processing Letters. (Download).
  • Baca, J., Brown, D., Lazarou, G., & Picone, J. (2006). Integrating a Spoken Dialogue Tutor with Adaptive E-Learning: A Framework for Remediation. Journal of Advanced Technology for Learning. (Download).
  • Crocker, M., Carver, J., & Lazarou, G. (2006). Using Software Architecture for Discrete Event Network Simulation Design and Validation. International Journal of Modelling and Simulation. (Download).
  • Crocker, M., Lazarou, G., Baca, J., & Picone, J. (2006). A Bandwidth Determination Method for IPv6-based Networks. The International Journal of Computer and Telecommunications Networking. (Download).
  • Crocker, M., Lazarou, G., Picone, J., & Baca, J. (2005b). Improved Bandwidth Estimations using the IPv6 Hop-by-Hop Extension Header. IEEE Network Magazine. (Download).
  • Crocker, M., Lazarou, G., Picone, J., & Baca, J. (2005a). Improved Bandwidth Estimations Using the IPv6 Hop-by-Hop Extension Header. International Journal of Computer Science and Network Security. (Download).
  • Baca, J., Holland, W., & Picone, J. (2005). Language Model Grammar Conversion. IEEE Transactions on Speech and Audio Processing. (Download).
  • Greeley, H., Berg, J., Friets, E., Wilson, J., Raghavan, S., & Picone, J. (2005). Speech Recognition-Based Fatigue Detection. IEEE Transactions on Speech and Audio Processing. (Download).
  • Parihar, N., & Picone, J. (2005). Analysis of the Aurora Large Vocabulary Evaluation. GESTS International Transaction on Speech Science and Engineering. (Download).
  • Baca, J., Brown, D., & Picone, J. (2004). Spoken Language Dialog Systems for E-learning Applications. International Journal of Science and Technology. (Download).
  • Selvaraj, M., Lazarou, G., & Hu, R. (2004). Simultaneous and Proportional Bandwith, Delay, and Loss Differentiation. Computer Communication Review (ACM SIGCOMM). (Download).
  • Baranski, J., Crocker, M., & Lazarou, G. (2003). A Comprehensive Fault-Tolerant Ethernet-Based IP Network Design. IEEE Communications Magazine. (Download).
  • Picone, J., Hamaker, J., & Ganapathiraju, A. (2003). Risk Minimization in Signal Processing. Proceedings of the IEEE. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2002). Applications of Support Vector Machines to Speech Recognition. IEEE Transactions on Speech and Audio Processing. (Download).
  • Hamaker, J., & Picone, J. (2002). Advances in Speech Recognition Using Sparse Bayesian Methods. IEEE Transactions on Speech and Audio Processing. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2001). Continuous Speech Recognition Using Support Vector Machines. Computer Speech and Language. (Download).
  • Price, P., & Picone, J. (2000). Automatic Speech Recognition: Better Than Text? The Sciences. (Download).
  • Kalidindi, N., Ganapathiraju, A., & Picone, J. (1999). Support Vector Machines for Scenic Beauty Estimation. IEEE Transactions on Image Processing. (Download).
  • Ganapathiraju, A., Hamaker, J., Skjellum, A., & Picone, J. (1997). A Comparative Analysis of FFT Algorithms. IEEE Transactions on Speech and Audio Processing. (Download).
  • Deshmukh, N., & Picone, J. (1996). Automatic Generation of N-Best Pronunciations of Proper Nouns. IEEE Transactions on Speech and Audio Processing. (Download).
  • Picone, J., Doddington, G., & Secrest, B. (1986). The Integrated Correlation Pitch Detector (pp. 1-25). IEEE Transactions on Acoustis, Speech and Signal Processing. Dallas, Texas, USA. (Download).

Unpublished Conference Proceedings:
  • Jungreis, D., & Picone, J. (2019). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning. In Proceedings of Computing Conference (pp. 1–9). London, UK. ( Download).
  • Jungreis, D., Capp, N., Golmohammadi, M., & Picone, J. (2018). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions using Deep Learning. In Proceedings of the Hawaii International Conference on System Sciences (HICSS) (pp. 1–5). Wailea, Hawaii, USA. (Download).
  • Golmohammadi, M., Ziyabari, S., Shah, V., Lopez, S., Obeid, I., & Picone, J. (2018). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. In Proceedings of the International Conference on Machine Learning (ICML) (pp. 1–9). Stockholm, Sweden. (Download).
  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2018). Deep Architectures for Automated Seizure Detection in Scalp EEGs. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) (pp. 1-9). New Orleans, Louisiana, USA. (Download).
  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2017). Deep Architectures for Automated Seizure Detection in Scalp EEGs. Proceedings of the Conference on Neural Information Processing Systems (NIPS) (pp. 1-8). Long Beach, California, USA: The NIPS Foundation. (Download).
  • Golmohammadi, M., Lopez, S., Gross, A., Andrade, M., Shah, V., Obeid, I., & Picone, J. (2017). Automatic Seizure Detection Using Supervectors. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (pp. 1-6). Shanghai, China. (Download).
  • Harati Nejad Torbati, A., & Picone, J. (2016). A Doubly Hierarchical Dirichlet Process HMM for Acoustic Modeling. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (pp. 1-5). Shanghai, China. (Download).
  • Lazarou, G., Alam, M., & Picone, J. (2016). Measuring the Variability of CAIDA Internet Traffic Traces. Proceedings of the International Conference on Computer and Information Technology (ICCIT) (p. 4). Dhaka, Bangladesh. (Download).
  • Harati Nejad Torbati, A. H., & Picone, J. (2015). Doubly Hierarchical Dirichlet Process HMM for Acoustic Modeling. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (pp. 1-7). Scottsdale, Arizona, USA. (Download).
  • Harati Nejad Torbati, A. H., Picone, J., & Sobel, M. (2014). A Left-to-Right HDP-HMM with HDPM Emissions. Proceeding of the Conference on Information Sciences and Systems (pp. 1-6). Las Vegas, Nevada, USA. (Download).
  • Steinberg, J., Harati, A., & Picone, J. (2013). A Comparative Analysis of Bayesian Nonparametric Inference Algorithms for Acoustic Modeling in English and Mandarin Speech Recognition. Proceedings of INTERSPEECH. Lyon, France. (Download).
  • Harati, A., Picone, J., & Sobel, M. (2013). Speech Segmentation Using Hierarchical Dirichlet Processes. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (p. TBD). Vancouver, Canada. (Download).
  • Harati, A., Picone, J., & Sobel, M. (2013). A Left-to-Right HDP-HMM with HDPM Emissions. Proceedings of the Neural Information Processing Systems Conference (NIPS) (pp. 1-7). Lake Tahoe, Nevada, USA. (Download).
  • Harati, A., & Picone, J. (2012). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Kyoto, Japan. (Download).
  • Harati, A., & Picone, J. (2012). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the IEEE Statistical Signal Processing Workshop. Ann Arbor, Michigan, USA. (Download).
  • Harati, A., & Picone, J. (2012). Assessing Search Term Strength in Spoken Term Detection. Proceedings of the Military Communications Conference. Orlando, Florida, USA. (Download).
  • Srinivasan, S., Ma, T., May, D., Lazarou, G., & Picone, J. (2009). A Nonlinear Mixture Autoregressive Model for Speaker Recognition. Proceedings of INTERSPEECH. Brighton, U.K. (Download).
  • May, D., Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2008c). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Las Vegas, Nevada, USA. (Download).
  • May, D., Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2008b). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of the Association for Computational Linguistics: Human Language Technology Conference. Columbus, Ohio. (Download).
  • May, D., Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2008a). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of INTERSPEECH. Brisbane, Australia. (Download).
  • Ma, T. (2008). Robust Speech Recognition Using Linear Dynamic Models. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Las Vegas, Nevada, USA. (Download).
  • May, D., Srinivasan, S., Ma, T., Lazarou, G., & Picone, J. (2007). Continuous Speech Recognition Using Nonlinear Dynamical Invariants. Proceedings of INTERSPEECH. Antwerpe, Belgium. (Download).
  • Baca, J., Holland, W., Duncan, D., & Picone, J. (2006). Language Model Grammar Conversion. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Toulouse, France. (Download).
  • Baca, J., Stanley, T., Elliot, M., & Picone, J. (2006). Enhancements to the DARPA Communicator Architecture. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Toulouse, France. (Download).
  • Greeley, H., Berg, J., Friets, E., Wilson, J., Raghavan, S., & Picone, J. (2006). Detecting Fatigue From Voice Using Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Toulouse, France. (Download).
  • Pannuri, M., Holland, W., Baca, J., Lazarou, G., & Picone, J. (2006). Grammar Transformations in Speech Recognition. Proceedings of IEEE Southeastcon. Memphis, Tennessee, USA. (Download).
  • Prasad, S., Srinivasan, S., & Picone, J. (2006). Reconstructed Phase Space of a Vector Time Series. Proceedings of the European Signal Processing Conference. Florence, Italy. (Download).
  • Gao, H., Duncan, R., Baca, J., & Picone, J. (2005). The Development of General-Purpose Signal Processing Tools. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Philadelphia, Pennsylvania, USA. (Download).
  • Gao, W., Porandla, S., Musunuri, S., Neema, S., & Gray, J. (2005). Optimization of Powertrain Designs Using Domain-Specific Modeling. Proceedings of the International Conference on Software Engineering. St. Louis, Missouri, USA. (Download).
  • Jenkins, W., Lewis, R., Lazarou, G., Picone, J., & Rowland, Z. (2005). Integrating Vehicle Peformance Monitoring with Existing Wireless Technology. Proceedings of International IEEE Intelligent Transportation Systems Conference. Vienna, Austria. (Download).
  • Gao, H., Duncan, R., Baca, J., & Picone, J. (2004b). Signal Processing Tools for Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Montreal, Quebec, Canada. (Download).
  • Gao, H., Duncan, R., Baca, J., & Picone, J. (2004a). Signal Processing Tools for Speech Recognition. Proceedings of the European Signal Processing Conference. Vienna, Austria. (Download).
  • Alphonso, I., & Picone, J. (2004). Network Training For Continuous Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Montreal, Quebec, Canada. (Download).
  • Brocato, J., & Picone, J. (2004). Writing While Designing: Combining ECE Senior Design with an Existing Technical Writing Course. American Society for Engineering Education Annual Conference and Exposition. Salt Lake City, Utah, USA. (Download).
  • Hu, R., Hu, W., & Lazarou, G. (2004). A backup path wavelength rearrangement scheme in an all optical network. Proceedings of IEEE INFOCOM. Hong Kong. (Download).
  • Parihar, N., Picone, J., Pearce, D., & Hirsch, H.-G. (2004). Performance Analysis of the Aurora Large Vocabulary Baseline System. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Montreal, Quebec, Canada. (Download).
  • Gao, H., Duncan, R., Baca, J., & Picone, J. (2003). Signal Processing Tools for Speech Recognition. Proceedings of the European Conference on Speech Communication and Technology. Geneva, Switzerland. (Download).
  • Parihar, N., Picone, J., Pearce, D., & Hirsch, H.-G. (2003). Performance Analysis of the Aurora Large Vocabulary Baseline System. Proceedings of the European Conference on Speech Communication and Technology. Geneva, Switzerland. (Download).
  • Ganapathiraju, A., Hamaker, J., & Picone, J. (2002). A Stand-Alone System for SVM Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Orlando, Florida, USA. (Download).
  • Harabagiu, S., Picone, J., & Moldovan, D. (2002). Voice Activated Question Answering. Proceedings of the Human Language Technology Conference. San Diego, California, USA. (Download).
  • Necioglu, B., George, B., Shuttic, G., Sundaram, R., & Picone, J. (2001). An Interoperability Study of Speech Enhancement and Speech R ecognition Systems. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Salt Lake City, Utah. (Download).
  • Ganapathiraju, A., & Picone, J. (2000). Hybrid SVM/HMM architectures for speech recognition. Proceedings of Neural Information Processing Systems. Denver, Colorado, USA. (Download).
  • Alphonso, I., & Picone, J. (1999). Rapid Prototyping of Signal Processing Algorithms. Proceedings of IEEE Southeastcon. Lexington, Kentucky, USA. (Download).
  • Deshmukh, N., Ganapathiraju, A., Hamaker, J., & Picone, J. (1999). A Public Domain Decoder for Large Vocabulary Conversational Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Phoenix, Arizona, USA. (Download).
  • Baca, J., & Picone, J. (1998). Effects of Interface Modality on Speaker Prosodics. Proceedings of the International Conference on Spoken Language Processing. Sydney, Australia. (Download).
  • Burnham, J., Hardy, J., Meadors, K., & Picone, J. (1998). A Comparison of the Roberts, Sobel, Robinson, Canny, and Hough Image Detection Algorithms. Proceedings of IEEE Southeastcon. Orlando, Florida, USA. (Download).
  • Le, A., Ngan, J., Shaffer, J., Ganapathiraju, A., & Picone, J. (1998). A Comparison of Classification Algorithms on Highly Nonlinear Signal Processing Problems. Proceedings of IEEE Southeastcon. Orlando, Florida, USA. (Download).
  • Duncan, R., & Picone, J. (1996). A Digital Telephone Interface For Speech Research. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Atlanta, Georgia, USA. (Download).
  • Picone, J., & Kondo, K. (1993). A Phonetically Balanced Sentence Database for Japanese Language Continuous Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1-4). Minneapolis, Minnesota, USA. (Download).
  • Andrews, M., & Picone, J. (1990). SVD Based Estimation of Speech Spectra. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1-4). Albuquerque, New Mexico, USA. (Download).
  • Doddington, G., Picone, J., Talkin, D., & Pallett, D. (1989). An Object-Oriented Speech Data File Software System. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1-4). Glasgow, Scotland. (Download).
  • Strowbridge, C., & Picone, J. (1989). On Choosing Recognition Units for Large Vocabularies With Limited Training. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1-4). Glasgow, Scotland. (Download).
  • Morrison, R., & Picone, J. (1988). Evaluation of Three Distance Measures for Speaker Independent Recognition in Telecommunications Services. Proceedings of the IEEE Global Communications Conference (pp. 1-4). Hollywood, Florida, USA. (Download).
  • Picone, J., Rajasekaran, P., Doddington, G., & Fisher, W. (1988). Grammar Constrained Continuous Speech Recognition. Proceedings of the Government Microcircuit and Applications Conference (GOMAC) (pp. 1-4). Las Vegas, Nevada, USA. (Download).

Unpublished Conference Presentations:
  • Somaru, P., Obeid, I., & Picone, J. (2016). Low-Cost High- Performance Computing Via Consumer GPUs. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Thiess, M., Krome, E., Golmohammadi, M., Obeid, I., & Picone, J. (2016). Enhanced Visualizations for Improved Real-Time EEG Monitoring. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Gross, A., Lopez, S., Obeid, I., & Picone, J. (2016). Statistical Comparison of REF vs. LE Referenced EEG Signals. In Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • McHugh, J. R., Ziyabari, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). Integrated Feature Extraction for HMM-Based Recognition Systems. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Andrade, M., Shah, V., Lopez, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). Real-time Seizure Detection Using Hidden Markov Models. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Golmohammadi, M. (2015). AutoEEG: Automatic Interpretation of EEGs Using Big Data. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Da Rocha Garrit, P. H., Guimaraes Moura, A., Obeid, I., & Picone, J. (2015). Wavelet Analysis for Feature Extraction on EEG Signals. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Trejo, D., Obeid, I., & Picone, J. (2015). Affordable Supercomputing Using Open Source Software. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University. Philadelphia, Pennsylvania, USA. (Download).
  • Guimaraes Moura, A., Obeid, I., & Picone, J. (2015). Feature Extraction Methods for EEG Event Detection. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Suarez, G., Macedo Soares, J., Lopez, S., Obeid, I., & Picone, J. (2015). A Machine Learning Approach to Automated Identification of Abnormal EEGs. NEDC Summer Research Experience for Undergraduates, Department of Electrical and Computer Engineering, Temple University (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Jungreis, D., Jacobson, M., Obeid, I., & Picone, J. (2015). Computer Detection of Abnormal Electroencephalography. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Lopez, S., Obeid, I., & Picone, J. (2015). The Temple University Hospital EEG Corpus (TUH EEG). Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Lopez, S., Harati, A., Obeid, I., & Picone, J. (2014). Automatic Interpretation of EEGs Using Big Data. Temple University College of Engineering Research Experience for Undergraduates Conference (p. 1). Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., & Picone, J. (2013). Assessing Search Term Strength in Spoken Term Detection. Temple University College of Engineering E-Week Poster Competition. (Download).
  • Lu, S., & Picone, J. (2013). Fingerspelling Recognition based on Sub-gesture Hidden Markov Models. Temple University College of Engineering E-Week Poster Competition. (Download).
  • Steinberg, J., & Picone, J. (2013). Variational Inference Algorithms for Acoustic Modeling in Speech Recognition. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Lu, S., & Picone, J. (2012). A Review of American Sign Language (ASL) Recognition. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Steinberg, J., & Picone, J. (2012). An Introduction to Mandarin Speech Recognition. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., & Picone, J. (2011). Application of Particle Swarm Optimization to Parameter Estimation for Hidden Markov Models. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).
  • Harati, A., & Picone, J. (2010). Quality Assessment For Search Terms in Spoken Term Detection (STD) Systems. Temple University College of Engineering E-Week Poster Competition. Philadelphia, Pennsylvania, USA. (Download).

Unpublished PhD Dissertations:
  • Hamaker, J. (2002). Sparse Bayesian Methods for Continuous Speech Recognition. Mississippi State University. (Download).
  • Deshmukh, N. (1999). Maximum Likelihood Estimation of Multiple Pronunciations for Proper Nouns. Mississippi State University. (Download).

Unpublished MS Theses:
  • Zeng, F. (2003). The Design and Implementation of Real-time Systems . Mississippi State University. (Download).
  • Zhao, J. (2000). Network and N-Gram Decoding in Speech Recognition. Temple University. (Download).
  • Mantha, V. (2000). Switchboard. Mississippi State University. (Download).
  • Hamaker, J. (1999). Advances in Speech Recognition Technology Through Corpus Development. Mississippi State University. (Download).