From 33d3d2084403fd34b79c835d2f2fe04f6cd8f738 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 13 九月 2023 09:33:54 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add

---
 egs/aishell2/paraformerbert/run.sh |   52 +++++++++++++++++++++++++++++++++++++---------------
 1 files changed, 37 insertions(+), 15 deletions(-)

diff --git a/egs/aishell2/paraformerbert/run.sh b/egs/aishell2/paraformerbert/run.sh
index 26c8063..548c4db 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"
@@ -90,14 +90,14 @@
 
 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
+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}
@@ -108,10 +108,16 @@
     echo "<unk>" >> ${token_list}
  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 \
@@ -136,13 +142,13 @@
                 --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} \
                 --valid_set ${valid_set} \
-                --embed_path ${feats_dir}/data \
-                --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
+                --data_file_names "wav.scp,text,embeds.scp" \
+                --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \
                 --speed_perturb ${speed_perturb} \
                 --dataset_type $dataset_type \
                 --resume true \
@@ -160,8 +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)"
@@ -193,7 +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 \
+                --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \
                 --key_file "${_logdir}"/keys.JOB.scp \
                 --asr_train_config "${asr_exp}"/config.yaml \
                 --asr_model_file "${asr_exp}"/"${inference_asr_model}" \
@@ -214,4 +220,20 @@
         tail -n 3 ${_dir}/text.cer > ${_dir}/text.cer.txt
         cat ${_dir}/text.cer.txt
     done
+fi
+
+# Prepare files for ModelScope fine-tuning and inference
+if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then
+    echo "stage 6: ModelScope Preparation"
+    cp ${feats_dir}/data/${train_set}/cmvn/am.mvn ${exp_dir}/exp/${model_dir}/am.mvn
+    vocab_size=$(cat ${token_list} | wc -l)
+    python utils/gen_modelscope_configuration.py \
+        --am_model_name $inference_asr_model \
+        --mode paraformer \
+        --model_name paraformer_bert \
+        --dataset aishell2 \
+        --output_dir $exp_dir/exp/$model_dir \
+        --vocab_size $vocab_size \
+        --nat _nat \
+        --tag $tag
 fi
\ No newline at end of file

--
Gitblit v1.9.1