| | |
| | | stop_stage=3 |
| | | |
| | | # feature configuration |
| | | feats_dim=80 |
| | | nj=64 |
| | | |
| | | # data |
| | |
| | | valid_set=dev_ios |
| | | |
| | | asr_config=conf/train_pretrain_transformer.yaml |
| | | model_dir="baseline_$(basename "${asr_config}" .yaml) _${lang}_${token_type}_${tag}" |
| | | model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}" |
| | | |
| | | if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then |
| | | echo "stage 0: Data preparation" |
| | |
| | | |
| | | if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then |
| | | echo "stage 1: Feature and CMVN Generation" |
| | | utils/compute_cmvn.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} ${feats_dir}/data/${train_set} |
| | | utils/compute_cmvn.sh --fbankdir ${feats_dir}/data/${train_set} --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --config_file "$asr_config" --scale 1.0 |
| | | fi |
| | | |
| | | token_list=${feats_dir}/data/${lang}_token_list/char/tokens.txt |
| | |
| | | utils/text2token.py -s 1 -n 1 --space "" ${feats_dir}/data/${train_set}/text | cut -f 2- -d" " | tr " " "\n" \ |
| | | | sort | uniq | grep -a -v -e '^\s*$' | awk '{print $0}' >> ${token_list} |
| | | echo "<unk>" >> ${token_list} |
| | | mkdir -p ${feats_dir}/asr_stats_fbank_zh_char/${train_set} |
| | | mkdir -p ${feats_dir}/asr_stats_fbank_zh_char/${valid_set} |
| | | fi |
| | | |
| | | # Training Stage |
| | |
| | | --train_set ${train_set} \ |
| | | --valid_set ${valid_set} \ |
| | | --data_file_names "wav.scp" \ |
| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \ |
| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \ |
| | | --speed_perturb ${speed_perturb} \ |
| | | --dataset_type $dataset_type \ |
| | | --resume true \ |
| | | --output_dir ${exp_dir}/exp/${model_dir} \ |
| | | --config $asr_config \ |
| | | --input_size $feats_dim \ |
| | | --ngpu $gpu_num \ |
| | | --num_worker_count $count \ |
| | | --multiprocessing_distributed true \ |