| | |
| | | |
| | | | Model Name | Training Data | Parameters | Sampling Rate | Notes | |
| | | |:----------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:-------------:|:------| |
| | | | [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) | Alibaba Speech Data (?hours) | 0.4M | 16000 | | |
| | | | [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-8k-common/summary) | Alibaba Speech Data (?hours) | 0.4M | 8000 | | |
| | | | [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) | Alibaba Speech Data (5000hours) | 0.4M | 16000 | | |
| | | | [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-8k-common/summary) | Alibaba Speech Data (5000hours) | 0.4M | 8000 | | |
| | | |
| | | ### Punctuation Restoration Models |
| | | |
| | | | Model Name | Training Data | Parameters | Vocab Size| Offline/Online | Notes | |
| | | |:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:----------:|:--------------:|:------| |
| | | | [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary) | Alibaba Speech Data (?hours) | 70M | 272727 | Offline | | |
| | | | [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727/summary) | Alibaba Speech Data (?hours) | 70M | 272727 | Online | | |
| | | | [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary) | Alibaba Text Data | 70M | 272727 | Offline | offline punctuation model | |
| | | | [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727/summary) | Alibaba Text Data | 70M | 272727 | Online | online punctuation model | |
| | | |
| | | ### Language Models |
| | | |