| | |
| | | type=sound |
| | | scp=wav.scp |
| | | speed_perturb="0.9 1.0 1.1" |
| | | dataset_type=large |
| | | stage=2 |
| | | stop_stage=2 |
| | | |
| | |
| | | echo "<blank>" > ${token_list} |
| | | echo "<s>" >> ${token_list} |
| | | echo "</s>" >> ${token_list} |
| | | tools/text2token.py -s 1 -n 1 --space "" ${feats_dir}/data/${train_set}/text | cut -f 2- -d" " | tr " " "\n" \ |
| | | 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} |
| | |
| | | rank=$i |
| | | local_rank=$i |
| | | gpu_id=$(echo $CUDA_VISIBLE_DEVICES | cut -d',' -f$[$i+1]) |
| | | asr_train.py \ |
| | | train.py \ |
| | | --task_name asr \ |
| | | --gpu_id $gpu_id \ |
| | | --use_preprocessor true \ |
| | | --dataset_type $dataset_type \ |
| | | --token_type char \ |
| | | --token_list $token_list \ |
| | | --train_data_file $feats_dir/$dumpdir/${train_set}/data.list \ |
| | | --valid_data_file $feats_dir/$dumpdir/${valid_set}/data.list \ |
| | | --data_dir ${feats_dir}/data \ |
| | | --train_set ${train_set} \ |
| | | --valid_set ${valid_set} \ |
| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.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 \ |
| | | --dist_init_method $init_method \ |
| | | --dist_world_size $world_size \ |
| | | --dist_rank $rank \ |