From e0a8c4b00631ed636418f4280964e473f05d5002 Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期四, 25 五月 2023 11:08:46 +0800
Subject: [PATCH] Merge pull request #552 from alibaba-damo-academy/dev_wjm2

---
 egs/aishell2/conformer/run.sh |   20 +++++++++++++++++---
 1 files changed, 17 insertions(+), 3 deletions(-)

diff --git a/egs/aishell2/conformer/run.sh b/egs/aishell2/conformer/run.sh
index ae57431..b5e8db1 100755
--- a/egs/aishell2/conformer/run.sh
+++ b/egs/aishell2/conformer/run.sh
@@ -87,7 +87,7 @@
 
 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 ${feats_dir}/data/${train_set} --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --config $asr_config --scale 1.0
 fi
 
 token_list=${feats_dir}/data/${lang}_token_list/char/tokens.txt
@@ -138,7 +138,7 @@
                 --train_set ${train_set} \
                 --valid_set ${valid_set} \
                 --data_file_names "wav.scp,text" \
-                --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
+                --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \
                 --speed_perturb ${speed_perturb} \
                 --dataset_type $dataset_type \
                 --resume true \
@@ -189,7 +189,7 @@
                 --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}" \
@@ -212,5 +212,19 @@
     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 asr \
+        --model_name conformer \
+        --dataset aishell2 \
+        --output_dir $exp_dir/exp/$model_dir \
+        --vocab_size $vocab_size \
+        --tag $tag
+fi
 
 

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