# parameter file for Viterbi training#  # define training mode (normal, batch or combine)# - in normal mode, the parameters are updated on the given input data# - in batch mode, accumulator files are output but no parameter updating#   is done. combine mode must be used to combine the accumulator files and#   perform the reestimation# - in combine mode, accumulator files are combined and used to update the#   HMM parameters#train_mode = normal# train_mode = combine# train_mode = batch# define accumulator file ## batch_stats_file = # in combine mode you define an accumulator list containing all of the # accumulator filenames produced in batch mode## acc_list_file = acc/acc.list# define input file list#input_file = models/mfc.list# define output file list of best paths (if this is not set then no# output will be written)#output_file =# define the transcript file and the type of transcription mode.# options are word_mlf and model_mlf#mlf_file = models/model_label.mlfmlf_mode = model_mlf# define the file containing the list of context-independent models#monophones_file = models/monophones.text# define the file containing a list of models which are not expanded# for context-dependency. typically these are silence models#special_model_list = models/special_models.text# define the model definition file#models_file = models/models.text# define model mapping file created by create_triphone_map#phones_file = models/hmm_train_phones.text# define lexicon file#lexicon_file = models/hmm_train_lexicon.text# define the input states file#states_file = models/states.bin# define the input transitions file#transitions_file = models/transitions.text# in combine mode or normal mode we define the states file which will # contain the updated HMM states#updated_states_file = models/new_states.text# in combine mode or normal mode we define the transitions file which will# contain the updated HMM transitions#updated_trans_file = models/new_trans.text# define alignment mode : model or state (always use state for training)#align_mode = state# define input(mfcc)/output(states) mode file format (ascii or binary)# accumulator files are always written in binary#output_mode = binary# define context mode (monophone, word_internal, or cross_word)# context_mode = monophone# define parameters for Viterbi decoding# - n-best determines how many paths should be kept at each word-end# - context_size specifies the size of context expansion (3 = triphones)# - beam_width specifies the beam pruning thresholds (state, model, word)# - max_active_phones specifies the maximum number of active phone instances#n-best = 1context_size = 1beam_width = 200 100 100max_active_phones = 1000