游雁
2024-05-30 b79e0c1d9a12cd22a3b27adea65dc16f6c977f64
README.md
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|                                                                                                         Model Name                                                                                                         |                     Task Details                      |          Training Data           | Parameters |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------:|:--------------------------------:|:----------:|
|          paraformer-zh <br> ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [🤗](https://huggingface.co/funasr/paraformer-tp) )           |  speech recognition, with timestamps, non-streaming   |      60000 hours, Mandarin       |    220M    |
|          paraformer-zh <br> ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)  [🤗](https://huggingface.co/funasr/paraformer-zh) )           |  speech recognition, with timestamps, non-streaming   |      60000 hours, Mandarin       |    220M    |
| <nobr>paraformer-zh-streaming <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗](https://huggingface.co/funasr/paraformer-zh-streaming) )</nobr> |             speech recognition, streaming             |      60000 hours, Mandarin       |    220M    |
|               paraformer-en <br> ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗](https://huggingface.co/funasr/paraformer-en) )                | speech recognition, without timestamps, non-streaming |       50000 hours, English       |    220M    |
|                            conformer-en <br> ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗](https://huggingface.co/funasr/conformer-en) )                             |           speech recognition, non-streaming           |       50000 hours, English       |    220M    |
@@ -85,11 +85,11 @@
|                                   fsmn-vad <br> ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗](https://huggingface.co/funasr/fsmn-vad) )                                   |               voice activity detection                | 5000 hours, Mandarin and English |    0.4M    | 
|                                     fa-zh <br> ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗](https://huggingface.co/funasr/fa-zh) )                                     |                 timestamp prediction                  |       5000 hours, Mandarin       |    38M     | 
|                                       cam++ <br> ( [⭐](https://modelscope.cn/models/iic/speech_campplus_sv_zh-cn_16k-common/summary) [🤗](https://huggingface.co/funasr/campplus) )                                        |           speaker verification/diarization            |            5000 hours            |    7.2M    | 
|                                                  Whisper-large-v2 <br> ([⭐](https://www.modelscope.cn/models/iic/speech_whisper-large_asr_multilingual/summary)  [🍀](https://github.com/openai/whisper) )                                                  |  speech recognition, with timestamps, non-streaming   |           multilingual           |    1550 M    |
|                                                Whisper-large-v3 <br> ([⭐](https://www.modelscope.cn/models/iic/Whisper-large-v3/summary)  [🍀](https://github.com/openai/whisper) )                                                 |  speech recognition, with timestamps, non-streaming   |           multilingual           |    1550 M    |
|                                         Qwen-Audio <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo.py)  [🤗](https://huggingface.co/Qwen/Qwen-Audio) )                                         |      audio-text multimodal models (pretraining)       |           multilingual           |  8B  |
|                   Qwen-Audio-Chat <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo_chat.py)  [🤗](https://huggingface.co/Qwen/Qwen-Audio-Chat) )                                                |          audio-text multimodal models (chat)          |           multilingual           |  8B  |
|                        emotion2vec+large <br> ([⭐](https://modelscope.cn/models/iic/emotion2vec_plus_large/summary)  [🤗](https://huggingface.co/emotion2vec/emotion2vec_plus_large) )                        |              speech emotion recongintion              |           40000 hours            |  300M  |
|                                 Whisper-large-v2 <br> ([⭐](https://www.modelscope.cn/models/iic/speech_whisper-large_asr_multilingual/summary)  [🍀](https://github.com/openai/whisper) )                                  |  speech recognition, with timestamps, non-streaming   |           multilingual           |    1550 M    |
|                                            Whisper-large-v3 <br> ([⭐](https://www.modelscope.cn/models/iic/Whisper-large-v3/summary)  [🍀](https://github.com/openai/whisper) )                                            |  speech recognition, with timestamps, non-streaming   |           multilingual           |    1550 M    |
|                                               Qwen-Audio <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo.py)  [🤗](https://huggingface.co/Qwen/Qwen-Audio) )                                                |      audio-text multimodal models (pretraining)       |           multilingual           |  8B  |
|                                        Qwen-Audio-Chat <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo_chat.py)  [🤗](https://huggingface.co/Qwen/Qwen-Audio-Chat) )                                        |          audio-text multimodal models (chat)          |           multilingual           |  8B  |
|                              emotion2vec+large <br> ([⭐](https://modelscope.cn/models/iic/emotion2vec_plus_large/summary)  [🤗](https://huggingface.co/emotion2vec/emotion2vec_plus_large) )                               |              speech emotion recongintion              |           40000 hours            |  300M  |