| | |
| | | type=sound |
| | | scp=wav.scp |
| | | speed_perturb="0.9 1.0 1.1" |
| | | stage=1 |
| | | stop_stage=1 |
| | | stage=2 |
| | | stop_stage=2 |
| | | |
| | | # feature configuration |
| | | feats_dim=80 |
| | |
| | | echo "</s>" >> ${token_list} |
| | | tools/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}' >> ${token_list} |
| | | num_token=$(cat ${token_list} | wc -l) |
| | | echo "<unk>" >> ${token_list} |
| | | vocab_size=$(cat ${token_list} | wc -l) |
| | | awk -v v=,${vocab_size} '{print $0v}' ${feat_train_dir}/text_shape > ${feat_train_dir}/text_shape.char |
| | | awk -v v=,${vocab_size} '{print $0v}' ${feat_dev_dir}/text_shape > ${feat_dev_dir}/text_shape.char |
| | | mkdir -p ${feats_dir}/asr_stats_fbank_zh_char/${train_set} |
| | | mkdir -p ${feats_dir}/asr_stats_fbank_zh_char/${valid_set} |
| | | cp ${feat_train_dir}/speech_shape ${feat_train_dir}/text_shape ${feat_train_dir}/text_shape.char ${feats_dir}/asr_stats_fbank_zh_char/${train_set} |
| | | cp ${feat_dev_dir}/speech_shape ${feat_dev_dir}/text_shape ${feat_dev_dir}/text_shape.char ${feats_dir}/asr_stats_fbank_zh_char/${valid_set} |
| | | fi |
| | | fi |
| | | |
| | | # Training Stage |
| | | world_size=$gpu_num # run on one machine |