en_160k_nnet3chain_tdnn1f_2048_sp_bi.yaml

# You have to download TEDLIUM "online nnet2" models in order to use this sample
# Run download-tedlium-nnet2.sh in 'test/models' to download them.
use-nnet2: True
decoder:
    # All the properties nested here correspond to the kaldinnet2onlinedecoder GStreamer plugin properties.
    # Use gst-inspect-1.0 ./libgstkaldionline2.so kaldinnet2onlinedecoder to discover the available properties
    use-threaded-decoder:  true
    model : en_160k_nnet3chain_tdnn1f_2048_sp_bi/final.mdl
    word-syms : en_160k_nnet3chain_tdnn1f_2048_sp_bi/words.txt
    fst : en_160k_nnet3chain_tdnn1f_2048_sp_bi/HCLG.fst
    mfcc-config : en_160k_nnet3chain_tdnn1f_2048_sp_bi/conf/mfcc.conf
    ivector-extraction-config : en_160k_nnet3chain_tdnn1f_2048_sp_bi/conf/ivector_extractor.conf
    max-active: 10000
    beam: 13.0
    lattice-beam: 6.0
    acoustic-scale: 1.0
 #   acoustic-scale: 0.083
    do-endpointing : true
    endpoint-silence-phones : "1:2:3:4:5:6:7:8:9:10"
    traceback-period-in-secs: 0.25
    chunk-length-in-secs: 0.25
    num-nbest: 1
    #Additional functionality that you can play with:
    #lm-fst:  models/en_160k_nnet3chain_tdnn1f_2048_sp_bi/G.fst
    #big-lm-const-arpa: models/en_160k_nnet3chain_tdnn1f_2048_sp_bi/G.carpa
    #phone-syms: models/en_160k_nnet3chain_tdnn1f_2048_sp_bi/phones.txt
    #word-boundary-file: models/en_160k_nnet3chain_tdnn1f_2048_sp_bi/word_boundary.int
    #do-phone-alignment: true