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PaddleSpeech
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updata released model info, test=doc

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docs/source/released_model.md
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### 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)

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examples/wenetspeech/asr0/RESULTS.md
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| 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 |

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examples/wenetspeech/asr1/RESULTS.md
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| 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

2
paddlespeech/cli/asr/pretrained_models.py
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@ -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':

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