| egs/aishell/conformer/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/aishell/data2vec_paraformer_finetune/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/aishell/data2vec_transformer_finetune/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/aishell/paraformer/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/aishell/paraformerbert/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/aishell/transformer/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/wenetspeech/conformer/run.sh | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 |
egs/aishell/conformer/run.sh
@@ -88,11 +88,11 @@ 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 token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/char/ mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} @@ -130,7 +130,7 @@ --task_name asr \ --gpu_id $gpu_id \ --use_preprocessor true \ --token_type char \ --token_type $token_type \ --token_list $token_list \ --data_dir ${feats_dir}/data \ --train_set ${train_set} \ egs/aishell/data2vec_paraformer_finetune/run.sh
@@ -91,11 +91,11 @@ 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 token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/char/ mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} @@ -134,7 +134,7 @@ --task_name asr \ --gpu_id $gpu_id \ --use_preprocessor true \ --token_type char \ --token_type $token_type \ --token_list $token_list \ --data_dir ${feats_dir}/data \ --train_set ${train_set} \ egs/aishell/data2vec_transformer_finetune/run.sh
@@ -91,11 +91,11 @@ 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 token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/char/ mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} @@ -134,7 +134,7 @@ --task_name asr \ --gpu_id $gpu_id \ --use_preprocessor true \ --token_type char \ --token_type $token_type \ --token_list $token_list \ --data_dir ${feats_dir}/data \ --train_set ${train_set} \ egs/aishell/paraformer/run.sh
@@ -88,11 +88,11 @@ 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 token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/char/ mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} @@ -130,7 +130,7 @@ --task_name asr \ --gpu_id $gpu_id \ --use_preprocessor true \ --token_type char \ --token_type $token_type \ --token_list $token_list \ --dataset_type small \ --data_dir ${feats_dir}/data \ egs/aishell/paraformerbert/run.sh
@@ -92,11 +92,11 @@ 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 token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/char/ mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} @@ -141,7 +141,7 @@ --task_name asr \ --gpu_id $gpu_id \ --use_preprocessor true \ --token_type char \ --token_type $token_type \ --token_list $token_list \ --data_dir ${feats_dir}/data \ --train_set ${train_set} \ egs/aishell/transformer/run.sh
@@ -88,11 +88,11 @@ 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 token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/char/ mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} @@ -130,7 +130,7 @@ --task_name asr \ --gpu_id $gpu_id \ --use_preprocessor true \ --token_type char \ --token_type $token_type \ --token_list $token_list \ --data_dir ${feats_dir}/data \ --train_set ${train_set} \ egs/wenetspeech/conformer/run.sh
@@ -84,3 +84,18 @@ echo "stage 1: Feature and CMVN Generation" utils/compute_cmvn.sh --fbankdir ${feats_dir}/data/${train_set} --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --config_file "$asr_config" --scale 0.1 fi token_list=${feats_dir}/data/${lang}_token_list/$token_type/tokens.txt echo "dictionary: ${token_list}" if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then echo "stage 2: Dictionary Preparation" mkdir -p ${feats_dir}/data/${lang}_token_list/$token_type/ echo "make a dictionary" echo "<blank>" > ${token_list} echo "<s>" >> ${token_list} echo "</s>" >> ${token_list} 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} fi
