updata released model info, test=doc

docs/source/released_model.md

@@ -6,10 +6,10 @@
 ### Speech Recognition Model
 Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech | Example Link 
 :-------------:| :------------:| :-----: | -----: | :-----: |:-----:| :-----:  | :-----:  | :-----: 
-[Ds2 Online Wenetspeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz) | Wenetspeech Dataset | Char-based | 1.2 GB  | 2 Conv + 5 LSTM layers | 0.152 (test\_net, w/o LM), 0.053 (aishell, w/ LM) |-| 10000 h |- 
+[Ds2 Online Wenetspeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz) | Wenetspeech Dataset | Char-based | 1.2 GB  | 2 Conv + 5 LSTM layers | 0.152 (test\_net, w/o LM) <br> 0.2417 (test\_meeting, w/o LM) <br> 0.053 (aishell, w/ LM) |-| 10000 h |- 
 [Ds2 Online Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz) | Aishell Dataset | Char-based | 491 MB  | 2 Conv + 5 LSTM layers | 0.0666 |-| 151 h | [D2 Online Aishell ASR0](../../examples/aishell/asr0) 
 [Ds2 Offline Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_aishell_ckpt_0.1.1.model.tar.gz)| Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional GRU layers| 0.064 |-| 151 h | [Ds2 Offline Aishell ASR0](../../examples/aishell/asr0) 
-[Conformer Online Wenetspeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz) | WenetSpeech Dataset | Char-based | 457 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test\_net) |-| 10000 h |- 
+[Conformer Online Wenetspeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz) | WenetSpeech Dataset | Char-based | 457 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test\_net) 18.79 (test\_meeting) |-| 10000 h |- 
 [Conformer Online Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_chunk_conformer_aishell_ckpt_0.2.0.model.tar.gz) | Aishell Dataset | Char-based | 189 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.0544 |-| 151 h | [Conformer Online Aishell ASR1](../../examples/aishell/asr1) 
 [Conformer Offline Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_0.1.2.model.tar.gz) | Aishell Dataset | Char-based | 189 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0464 |-| 151 h | [Conformer Offline Aishell ASR1](../../examples/aishell/asr1) 
 [Transformer Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz) | Aishell Dataset | Char-based | 128 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0523 || 151 h | [Transformer  Aishell ASR1](../../examples/aishell/asr1) 

examples/wenetspeech/asr0/RESULTS.md

@@ -5,3 +5,4 @@
 | Model | Number of Params | Release | Config | Test set | Valid Loss | CER | 
 | --- | --- | --- | --- | --- | --- | --- | 
 | DeepSpeech2 | 1.2G | r1.0.0a | conf/deepspeech2\_online.yaml + spec aug + fbank161 | test\_net | 13.307 | 15.02 |
+| DeepSpeech2 | 1.2G | r1.0.0a | conf/deepspeech2\_online.yaml + spec aug + fbank161 | test\_meeting | 13.307 | 24.17 |

examples/wenetspeech/asr1/RESULTS.md

@@ -4,12 +4,14 @@
 
 | Model | Params | Config | Augmentation| Test set | Decode method | Loss | CER |  
 | --- | --- | --- | --- | --- | --- | --- | --- |
-| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | attention | 9.329 | 0.1102 |  
-| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | ctc_greedy_search | 9.329 | 0.1207 |  
-| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | ctc_prefix_beam_search | 9.329 | 0.1203 |  
-| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | attention_rescoring | 9.329  | 0.1100 |  
-
-
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | attention | 9.329 | 0.1102 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | ctc_greedy_search | 9.329 | 0.1207 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | ctc_prefix_beam_search | 9.329 | 0.1203 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | attention_rescoring | 9.329  | 0.1100 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test meeting | attention | 9.329 | 0.1992 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test meeting | ctc_greedy_search | 9.329 | 0.1960 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test meeting | ctc_prefix_beam_search | 9.329 | 0.1946 |  
+| conformer_online | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test meeting | attention_rescoring | 9.329  | 0.1879|  
 
 ## Conformer
 

paddlespeech/cli/asr/pretrained_models.py

@@ -27,7 +27,7 @@ pretrained_models = {
         'ckpt_path':
         'exp/conformer/checkpoints/wenetspeech',
     },
-   "conformer_online_wenetspeech-zh-16k": {
+    "conformer_online_wenetspeech-zh-16k": {
         'url':
         'https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz',
         'md5':