diff --git a/speechx/examples/ds2_ol/aishell/run.sh b/speechx/examples/ds2_ol/aishell/run.sh
index 9a63ff4d..9906de3a 100755
--- a/speechx/examples/ds2_ol/aishell/run.sh
+++ b/speechx/examples/ds2_ol/aishell/run.sh
@@ -29,8 +29,8 @@ vocb_dir=$ckpt_dir/data/lang_char/
 mkdir -p exp
 exp=$PWD/exp
 
+aishell_wav_scp=aishell_test.scp
 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ];then
-    aishell_wav_scp=aishell_test.scp
     if [ ! -d $data/test ]; then
         pushd $data
         wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_test.zip
@@ -140,3 +140,42 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
     cat $data/split${nj}/*/result_tlg > $exp/${label_file}_tlg
     utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_tlg > $exp/${wer}.tlg
 fi
+
+if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
+
+    cmvn=$data/cmvn.ark
+    if [ ! -f $data/split${nj}/1/${aishell_wav_scp} ]; then
+        cmvn-json2kaldi --json_file=$ckpt_dir/data/mean_std.json --cmvn_write_path=$cmvn
+        ./local/split_data.sh $data ${data}/${aishell_wav_scp} $aishell_wav_scp $nj
+    fi
+
+    wfst=$data/wfst/
+    mkdir -p $wfst
+    if [ ! -f $wfst/aishell_graph.zip ]; then
+        pushd $wfst
+        wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_graph.zip
+        unzip aishell_graph.zip
+        popd
+    fi
+
+    graph_dir=$wfst/aishell_graph
+
+    #  TLG decoder
+    utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recognizer.log \
+    recognizer_test_main \
+        --wav_rspecifier=scp:$data/split${nj}/JOB/${aishell_wav_scp} \
+        --cmvn_file=$cmvn \
+        --model_path=$model_dir/avg_1.jit.pdmodel \
+        --convert2PCM32=true \
+        --streaming_chunk=30 \
+        --params_path=$model_dir/avg_1.jit.pdiparams \
+        --word_symbol_table=$graph_dir/words.txt \
+        --model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
+        --graph_path=$graph_dir/TLG.fst --max_active=7500 \
+        --acoustic_scale=1.2 \
+        --result_wspecifier=ark,t:$data/split${nj}/JOB/result_recognizer
+
+    cat $data/split${nj}/*/result_recognizer > $exp/${label_file}_recognizer
+    utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_recognizer > $exp/${wer}.recognizer
+fi
+