update

shixian.shi

2023-11-23 c9f1b4e8a2e903f74de20d019e70307c26e93c3e

 README_zh.md

@@ -54,15 +54,15 @@

|                                                                              模型名字                                                                               |        任务详情        |     训练数据     | 参数量  |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------:|:------------:|:----:|
|     paraformer-zh ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [🤗]() )     |  语音识别，带时间戳输出，非实时   |  60000小时，中文  | 220M |
|                 paraformer-zh-spk ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary)  [🤗]() )                 | 分角色语音识别，带时间戳输出，非实时 |  60000小时，中文  | 220M |
|        paraformer-zh-online ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )         |      语音识别，实时       |  60000小时，中文  | 220M |
|          paraformer-en ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() )          | 语音识别，非实时 |  50000小时，英文  | 220M |
|                                                                paraformer-en-spk ([🤗]() [⭐]() )                                                                |      语音识别，非实时      |  50000小时，英文  | 220M |
|                      conformer-en ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() )                       |      语音识别，非实时      |  50000小时，英文  | 220M |
|                      ct-punc ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() )                       |      标点恢复      |  100M，中文与英文  | 1.1G | 
|                           fsmn-vad ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() )                           |     语音端点检测，实时      | 5000小时，中文与英文 | 0.4M | 
|                           fa-zh ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗]() )                            |   字级别时间戳预测         |  50000小时，中文  | 38M  |
|     paraformer-zh <br> ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [🤗]() )     |  语音识别，带时间戳输出，非实时   |  60000小时，中文  | 220M |
|                 paraformer-zh-spk <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary)  [🤗]() )                 | 分角色语音识别，带时间戳输出，非实时 |  60000小时，中文  | 220M |
|        paraformer-zh-online <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )         |      语音识别，实时       |  60000小时，中文  | 220M |
|          paraformer-en <br> ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() )          | 语音识别，非实时 |  50000小时，英文  | 220M |
|                                                                paraformer-en-spk <br> ([⭐]() [🤗]() )                                                                |      语音识别，非实时      |  50000小时，英文  | 220M |
|                      conformer-en <br> ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() )                       |      语音识别，非实时      |  50000小时，英文  | 220M |
|                      ct-punc <br> ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() )                       |      标点恢复      |  100M，中文与英文  | 1.1G | 
|                           fsmn-vad <br> ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() )                           |     语音端点检测，实时      | 5000小时，中文与英文 | 0.4M | 
|                           fa-zh <br> ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗]() )                            |   字级别时间戳预测         |  50000小时，中文  | 38M  |


<a name="快速开始"></a>
@@ -140,8 +140,8 @@

## 社区贡献者

| <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/China_Telecom.png" width="200"/> </div>  | <img src="docs/images/RapidAI.png" width="200"/> </div> | <img src="docs/images/aihealthx.png" width="200"/> </div> | <img src="docs/images/XVERSE.png" width="250"/> </div> |
|:---------------------------------------------------------------:|:--------------------------------------------------------------:|:-------------------------------------------------------:|:-----------------------------------------------------------:|:------------------------------------------------------:|
| <div align="left"><img src="docs/images/alibaba.png" width="260"/> | <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/China_Telecom.png" width="200"/> </div>  | <img src="docs/images/RapidAI.png" width="200"/> </div> | <img src="docs/images/aihealthx.png" width="200"/> </div> | <img src="docs/images/XVERSE.png" width="250"/> </div> |
|:------------------------------------------------------------------:|:---------------------------------------------------------------:|:--------------------------------------------------------------:|:-------------------------------------------------------:|:-----------------------------------------------------------:|:------------------------------------------------------:|

贡献者名单请参考（[致谢名单](./Acknowledge.md)）