游雁
2023-11-08 b5021ee4ccc7c2edece5822faabd2351211cdeef
README.md
@@ -51,16 +51,16 @@
|                                                                           Model Name                                                                            |                                Task Details                                 |          Training Date           | Parameters |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------:|:--------------------------------:|:----------:|
|     paraformer-zh ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [🤗]() )     |             speech recognition, with timestamps, non-streaming              |      60000 hours, Mandarin       |    220M    |
|                 paraformer-zh-spk ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary)  [🤗]() )                 | speech recognition with speaker diarization, with timestamps, non-streaming |      60000 hours, Mandarin       |    220M    |
|        paraformer-zh-online ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )         |                      speech recognition, non-streaming                      |      60000 hours, Mandarin       |    220M    |
|          paraformer-en ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() )          |             speech recognition, with timestamps, non-streaming              |       50000 hours, English       |    220M    |
|                                                                paraformer-en-spk ([🤗]() [⭐]() )                                                                |         speech recognition with speaker diarization, non-streaming          |       50000 hours, English       |    220M    |
|                      conformer-en ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() )                       |                      speech recognition, non-streaming                      |       50000 hours, English       |    220M    |
|                      ct-punc ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() )                       |                           punctuation restoration                           |    100M, Mandarin and English    |    1.1G    |
|                           fsmn-vad ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() )                           |                          voice activity detection                           | 5000 hours, Mandarin and English |    0.4M    |
|                           fa-zh ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗]() )                            |                            timestamp prediction                             |       5000 hours, Mandarin       |    38M     |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------:|:--------------------------------:|:----------:|
| <nobr>paraformer-zh ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [🤗]() )</nobr> |             speech recognition, with timestamps, non-streaming              |      60000 hours, Mandarin       |    220M    |
|             <nobr>paraformer-zh-spk ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary)  [🤗]() )</nobr>             | speech recognition with speaker diarization, with timestamps, non-streaming |      60000 hours, Mandarin       |    220M    |
|    <nobr>paraformer-zh-online ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )</nobr>     |                      speech recognition, non-streaming                      |      60000 hours, Mandarin       |    220M    |
|      <nobr>paraformer-en ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() )</nobr>      |             speech recognition, with timestamps, non-streaming              |       50000 hours, English       |    220M    |
|                                                            <nobr>paraformer-en-spk ([🤗]() [⭐]() )</nobr>                                                            |         speech recognition with speaker diarization, non-streaming          |       50000 hours, English       |    220M    |
|                  <nobr>conformer-en ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() )</nobr>                   |                      speech recognition, non-streaming                      |       50000 hours, English       |    220M    |
|                  <nobr>ct-punc ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() )</nobr>                   |                           punctuation restoration                           |    100M, Mandarin and English    |    1.1G    |
|                       <nobr>fsmn-vad ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() )</nobr>                       |                          voice activity detection                           | 5000 hours, Mandarin and English |    0.4M    |
|                       <nobr>fa-zh ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗]() )</nobr>                        |                            timestamp prediction                             |       5000 hours, Mandarin       |    38M     |