#!/bin/bash
  
  # data location
  PWD=`pwd`
  exp_dir=$PWD
  data_dir=$PWD/data/vystadial-sample-cs/test
  decode_dir=$exp_dir/decode
  
  # IO parameters
  wav_scp=$data_dir/input_best.scp
  # wav_scp=$data_dir/input.scp
  
  gmm_latgen_faster_tra=$decode_dir/gmm-latgen-faster.tra
  gmm_latgen_faster_tra_txt=${gmm_latgen_faster_tra}.txt
  
  pykaldi_latgen_tra=$decode_dir/pykaldi-latgen.tra
  pykaldi_latgen_tra_txt=${pykaldi_faster_tra}.txt
  lattice=$decode_dir/lat.gz
  
  # Czech language models 
  LANG=cs
  HCLG=models/HCLG_tri2b_bmmi.fst
  AM=models/tri2b_bmmi.mdl
  MAT=models/tri2b_bmmi.mat  # matrix trained in tri2b models 
  WST=models/words.txt
  MFCC=models/mfcc.conf
  SILENCE=models/silence.csl
  
  kaldisrc=`pwd`/../../../src
  openfst=`pwd`/../../../tools/openfst/
  
  export PATH=$kaldisrc/bin:$kaldisrc/fgmmbin:$kaldisrc/gmmbin:$kaldisrc/nnetbin:$kaldisrc/sgmm2bin:$kaldisrc/featbin:$kaldisrc/fstbin:$kaldisrc/latbin:$kaldisrc/onlinebin:$kaldisrc/onl-rec:$openfst/bin:"$PATH"
  export LD_LIBRARY_PATH=$kaldisrc/onl-rec:$kaldisrc/pykaldi/kaldi:$openfst/lib:$openfst/lib/fst:$LD_LIBRARY_PATH
  export PYTHONPATH=$kaldisrc/pykaldi:$kaldisrc/pykaldi/pyfst:$PYTHONPATH
  
  beam=16.0
  latbeam=10.0
  max_active=14000
  
  # Size of chunks are queued in "online" interface
  batch_size=4560