#!/bin/bash
  
  # EVERY_N utterance is used for training
  # EVERY_N=3    ->   we use one third of training data
  export EVERY_N=1
  export TEST_SETS="dev test"
  
  # Directories set up
  export DATA_ROOT=`pwd`/data  # expects subdirectories train + $TEST_SETS
  export WORK=`pwd`/lang_prep
  export EXP=`pwd`/exp
  export TGT_MODELS=trained_models
  
  # Specify paths to arpa models. Paths may not contain spaces.
  # Specify build0 or build1 or build2, .. for building (zero|uni|bi)-gram LM.
  # Note: The LM file name should not contain underscore "_"! 
  # Otherwise the results will be reported without the LM with underscore."
  export LMs="build0 build2"
  
  # Use path to prebuilt dictionary or 'build' command in order to build dictionary
  # export DICTIONARY="../../resources/lm/caminfo/dict"
  export DICTIONARY="build"
  
  
  # Borders for estimating LM model weight.
  # LMW is tuned on development set and applied on test set.
  export min_lmw=9
  export max_lmw=20
  
  # Number of states for phonem training
  export pdf=1200
  
  # Maximum number of Gaussians used for training
  export gauss=19200
  
  export train_mmi_boost=0.05
  
  export mmi_beam=16.0
  export mmi_lat_beam=10.0
  
  # --fake -> NO CMVN; empty -> CMVN (pykaldi decoders can not handle CMVN -> fake)
  export fake="--fake"