#!/bin/bash
  
  # Copyright 2018 AIShell-Foundation(Authors:Jiayu DU, Xingyu NA, Bengu WU, Hao ZHENG)
  #           2018 Beijing Shell Shell Tech. Co. Ltd. (Author: Hui BU)
  # Apache 2.0
  
  # AISHELL-2 provides:
  #  * a Mandarin speech corpus (~1000hrs), free for non-commercial research/education use
  #  * a baseline recipe setup for large scale Mandarin ASR system
  # For more details, read $KALDI_ROOT/egs/aishell2/README.txt
  
  # modify this to your AISHELL-2 training data path
  # e.g:
  # trn_set=/disk10/data/AISHELL-2/iOS/data
  # dev_set=/disk10/data/AISHELL-2/iOS/dev
  # tst_set=/disk10/data/AISHELL-2/iOS/test
  trn_set=
  dev_set=
  tst_set=
  
  nj=20
  stage=1
  gmm_stage=1
  
  . ./cmd.sh
  . ./path.sh
  . ./utils/parse_options.sh
  
  # prepare trn/dev/tst data, lexicon, lang etc
  if [ $stage -le 1 ]; then
    local/prepare_all.sh ${trn_set} ${dev_set} ${tst_set} || exit 1;
  fi
  
  # GMM
  if [ $stage -le 2 ]; then
    local/run_gmm.sh --nj $nj --stage $gmm_stage
  fi
  
  # chain
  if [ $stage -le 3 ]; then
    local/chain/run_tdnn.sh --nj $nj
  fi
  
  local/show_results.sh
  
  exit 0;