Merge branch 'develop' of github.com:SmileGoat/PaddleSpeech into add_websocketlib

speechx/examples/ds2_ol/aishell/README.md

@@ -8,7 +8,7 @@ Mandarin -> 16.14 % N=104612 C=88190 S=16110 D=312 I=465
 Other -> 0.00 % N=0 C=0 S=0 D=0 I=0
 ```
 
-## CTC Prefix Beam Search w LM
+## CTC Prefix Beam Search w/ LM
 
 LM: zh_giga.no_cna_cmn.prune01244.klm
 ```
@@ -19,9 +19,18 @@ Other -> 0.00 % N=0 C=0 S=0 D=0 I=0
 
 ## CTC WFST
 
-LM: aishell train
+LM: [aishell train](http://paddlespeech.bj.bcebos.com/speechx/examples/ds2_ol/aishell/aishell_graph.zip)
+--acoustic_scale=1.2
 ```
 Overall -> 11.14 % N=103017 C=93363 S=9583 D=71 I=1819
 Mandarin -> 11.14 % N=103017 C=93363 S=9583 D=71 I=1818
 Other -> 0.00 % N=0 C=0 S=0 D=0 I=1
 ```
+
+LM: [wenetspeech](http://paddlespeech.bj.bcebos.com/speechx/examples/ds2_ol/aishell/wenetspeech_graph.zip)
+--acoustic_scale=1.5
+```
+Overall -> 10.93 % N=104765 C=93410 S=9780 D=1575 I=95
+Mandarin -> 10.93 % N=104762 C=93410 S=9779 D=1573 I=95
+Other -> 100.00 % N=3 C=0 S=1 D=2 I=0
+```

speechx/examples/ds2_ol/aishell/run.sh

@@ -87,7 +87,7 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
     ctc-prefix-beam-search-decoder-ol \
         --feature_rspecifier=scp:$data/split${nj}/JOB/feat.scp \
         --model_path=$model_dir/avg_1.jit.pdmodel \
-        --params_path=$model_dir/avg_1.jit.pdiparams \
+        --param_path=$model_dir/avg_1.jit.pdiparams \
         --model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
         --dict_file=$vocb_dir/vocab.txt \
         --result_wspecifier=ark,t:$data/split${nj}/JOB/result
@@ -102,7 +102,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
     ctc-prefix-beam-search-decoder-ol \
         --feature_rspecifier=scp:$data/split${nj}/JOB/feat.scp \
         --model_path=$model_dir/avg_1.jit.pdmodel \
-        --params_path=$model_dir/avg_1.jit.pdiparams \
+        --param_path=$model_dir/avg_1.jit.pdiparams \
         --model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
         --dict_file=$vocb_dir/vocab.txt \
         --lm_path=$lm \
@@ -119,17 +119,18 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
         pushd $wfst
         wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_graph.zip
         unzip aishell_graph.zip
+        mv aishell_graph/* 
         popd
     fi
 
-    graph_dir=$wfst/aishell_graph
+    graph_dir=$wfst/
 
     #  TLG decoder
     utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recog.wfst.log \
     wfst-decoder-ol \
         --feature_rspecifier=scp:$data/split${nj}/JOB/feat.scp \
         --model_path=$model_dir/avg_1.jit.pdmodel \
-        --params_path=$model_dir/avg_1.jit.pdiparams \
+        --param_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 \