# parameters file for decoder demo
#

# define function mode
#
# function = forced_alignment
# function = lattice_rescoring
function = ngram_decoding
# function = lattice_generation
# function = lattice_verification
# function = lattice_to_lattice
# function = lattice_error_rate

monophones_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/monophones.text
models_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/models.text
phones_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/phones.text
transitions_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/transitions.text
states_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/states.bin

# input_lattice_list = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/rm.lat

# define input format
#
input_format = binary

# define lexicon file
#
lexicon_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/lexicon.text

# alignment mode
#
align_mode = word

# define ngram language model
#
lm_file = $ISIP_DEVEL/util/demo/isip_demo_data/speech_recognition/models/bigram.text
grammar_list_file =
ngram_order = 2
lm_scale = 20.0
word_penalty = 10
# num_allowed_tokens = 6000

# define context mode
#
context_mode = word_internal

# define number of paths
#
history_paths = 50
nbest_paths = 10

# define pruning thresholds
#
beam_pruning = 200 150 120
mapmi_limit = 3000
num_allowed_words = 10

# define phonetic fast match algorithm threshold
#
# phonetic_threshold = 22
phonetic_window = 1
nna_gaussian = yes

# compact_lattice = yes

# define input and output lists
#
# mfcc_list = mfcc.mfc
output_list = hypo.out

# end of file
#
