From dcc4f728cdb83a48250825288bbb92b7a0d2848b Mon Sep 17 00:00:00 2001
From: haoneng.lhn <haoneng.lhn@alibaba-inc.com>
Date: 星期五, 19 五月 2023 13:19:55 +0800
Subject: [PATCH] update paraformer online text postprocess
---
egs/aishell2/paraformerbert/run.sh | 32 +++++++++++++++++++-------------
1 files changed, 19 insertions(+), 13 deletions(-)
diff --git a/egs/aishell2/paraformerbert/run.sh b/egs/aishell2/paraformerbert/run.sh
index ef74dd1..a5e5ba9 100755
--- a/egs/aishell2/paraformerbert/run.sh
+++ b/egs/aishell2/paraformerbert/run.sh
@@ -21,8 +21,8 @@
scp=wav.scp
speed_perturb="0.9 1.0 1.1"
dataset_type=large
-stage=3
-stop_stage=4
+stage=0
+stop_stage=5
skip_extract_embed=false
bert_model_name="bert-base-chinese"
@@ -32,8 +32,8 @@
nj=64
# data
-tr_dir=/nfs/wangjiaming.wjm/asr_data/aishell2/AISHELL-2/iOS/data
-dev_tst_dir=/nfs/wangjiaming.wjm/asr_data/aishell2/AISHELL-DEV-TEST-SET
+tr_dir=
+dev_tst_dir=
# exp tag
tag="exp1"
@@ -106,19 +106,24 @@
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
+# LM Training Stage
world_size=$gpu_num # run on one machine
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
- echo "stage 3: Training"
+ echo "stage 3: LM Training"
+fi
+
+# ASR Training Stage
+world_size=$gpu_num # run on one machine
+if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
+ echo "stage 4: ASR Training"
if ! "${skip_extract_embed}"; then
echo "extract embeddings..."
local/extract_embeds.sh \
--bert_model_name ${bert_model_name} \
- --raw_dataset_path ${feats_dir}
+ --raw_dataset_path ${feats_dir} \
+ --nj $nj
fi
mkdir -p ${exp_dir}/exp/${model_dir}
mkdir -p ${exp_dir}/exp/${model_dir}/log
@@ -142,7 +147,7 @@
--data_dir ${feats_dir}/data \
--train_set ${train_set} \
--valid_set ${valid_set} \
- --embed_path ${feats_dir}/data \
+ --data_file_names "wav.scp,text,embeds.scp" \
--cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
--speed_perturb ${speed_perturb} \
--dataset_type $dataset_type \
@@ -161,8 +166,8 @@
fi
# Testing Stage
-if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
- echo "stage 4: Inference"
+if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
+ echo "stage 5: Inference"
for dset in ${test_sets}; do
asr_exp=${exp_dir}/exp/${model_dir}
inference_tag="$(basename "${inference_config}" .yaml)"
@@ -173,7 +178,7 @@
exit 0
fi
mkdir -p "${_logdir}"
- _data="${feats_dir}/${dumpdir}/${dset}"
+ _data="${feats_dir}/data/${dset}"
key_file=${_data}/${scp}
num_scp_file="$(<${key_file} wc -l)"
_nj=$([ $inference_nj -le $num_scp_file ] && echo "$inference_nj" || echo "$num_scp_file")
@@ -194,6 +199,7 @@
--njob ${njob} \
--gpuid_list ${gpuid_list} \
--data_path_and_name_and_type "${_data}/${scp},speech,${type}" \
+ --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
--key_file "${_logdir}"/keys.JOB.scp \
--asr_train_config "${asr_exp}"/config.yaml \
--asr_model_file "${asr_exp}"/"${inference_asr_model}" \
--
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