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| | | <a name="最新动态"></a> |
| | | ## 最新动态 |
| | | - 2024/05/15:新增加情感识别模型,[emotion2vec+large](https://modelscope.cn/models/iic/emotion2vec_plus_large/summary),[emotion2vec+base](https://modelscope.cn/models/iic/emotion2vec_plus_base/summary),[emotion2vec+seed](https://modelscope.cn/models/iic/emotion2vec_plus_seed/summary),输出情感类别为:生气/angry,开心/happy,中立/neutral,难过/sad。 |
| | | - 2024/05/15: 中文离线文件转写服务 4.5、英文离线文件转写服务 1.6、中文实时语音听写服务 1.10 发布,适配FunASR 1.0模型结构;详细信息参阅([部署文档](runtime/readme_cn.md)) |
| | | - 2024/03/05:新增加Qwen-Audio与Qwen-Audio-Chat音频文本模态大模型,在多个音频领域测试榜单刷榜,中支持语音对话,详细用法见 [示例](examples/industrial_data_pretraining/qwen_audio)。 |
| | | - 2024/03/05:新增加Whisper-large-v3模型支持,多语言语音识别/翻译/语种识别,支持从 [modelscope](examples/industrial_data_pretraining/whisper/demo.py)仓库下载,也支持从 [openai](examples/industrial_data_pretraining/whisper/demo_from_openai.py)仓库下载模型。 |
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| | | (注:⭐ 表示ModelScope模型仓库,🤗 表示Huggingface模型仓库,🍀表示OpenAI模型仓库) |
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| | | | 模型名字 | 任务详情 | 训练数据 | 参数量 | |
| | | |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------:|:------------:|:----:| |
| | | | 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) ) | 语音识别,带时间戳输出,非实时 | 60000小时,中文 | 220M | |
| | | | 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) ) | 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) [🤗](https://huggingface.co/funasr/paraformer-en) ) | 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) [🤗](https://huggingface.co/funasr/conformer-en) ) | 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) [🤗](https://huggingface.co/funasr/ct-punc) ) | 标点恢复 | 100M,中文与英文 | 1.1B | |
| | | | fsmn-vad <br> ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗](https://huggingface.co/funasr/fsmn-vad) ) | 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) [🤗](https://huggingface.co/funasr/fa-zh) ) | 字级别时间戳预测 | 50000小时,中文 | 38M | |
| | | | cam++ <br> ( [⭐](https://modelscope.cn/models/iic/speech_campplus_sv_zh-cn_16k-common/summary) [🤗](https://huggingface.co/funasr/campplus) ) | 说话人确认/分割 | 5000小时 | 7.2M | |
| | | | Whisper-large-v3 <br> ([⭐](https://www.modelscope.cn/models/iic/Whisper-large-v3/summary) [🍀](https://github.com/openai/whisper) ) | 语音识别,带时间戳输出,非实时 | 多语言 | 1550 M | |
| | | | Qwen-Audio <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo.py) [🤗](https://huggingface.co/Qwen/Qwen-Audio) ) | 音频文本多模态大模型(预训练) | 多语言 | 8B | |
| | | | Qwen-Audio-Chat <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo_chat.py) [🤗](https://huggingface.co/Qwen/Qwen-Audio-Chat) ) | 音频文本多模态大模型(chat版本) | 多语言 | 8B | |
| | | | 模型名字 | 任务详情 | 训练数据 | 参数量 | |
| | | |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------:|:--------------:|:------:| |
| | | | 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) ) | 语音识别,带时间戳输出,非实时 | 60000小时,中文 | 220M | |
| | | | 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) ) | 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) [🤗](https://huggingface.co/funasr/paraformer-en) ) | 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) [🤗](https://huggingface.co/funasr/conformer-en) ) | 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) [🤗](https://huggingface.co/funasr/ct-punc) ) | 标点恢复 | 100M,中文与英文 | 1.1B | |
| | | | fsmn-vad <br> ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗](https://huggingface.co/funasr/fsmn-vad) ) | 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) [🤗](https://huggingface.co/funasr/fa-zh) ) | 字级别时间戳预测 | 50000小时,中文 | 38M | |
| | | | cam++ <br> ( [⭐](https://modelscope.cn/models/iic/speech_campplus_sv_zh-cn_16k-common/summary) [🤗](https://huggingface.co/funasr/campplus) ) | 说话人确认/分割 | 5000小时 | 7.2M | |
| | | | Whisper-large-v3 <br> ([⭐](https://www.modelscope.cn/models/iic/Whisper-large-v3/summary) [🍀](https://github.com/openai/whisper) ) | 语音识别,带时间戳输出,非实时 | 多语言 | 1550 M | |
| | | | Qwen-Audio <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo.py) [🤗](https://huggingface.co/Qwen/Qwen-Audio) ) | 音频文本多模态大模型(预训练) | 多语言 | 8B | |
| | | | Qwen-Audio-Chat <br> ([⭐](examples/industrial_data_pretraining/qwen_audio/demo_chat.py) [🤗](https://huggingface.co/Qwen/Qwen-Audio-Chat) ) | 音频文本多模态大模型(chat版本) | 多语言 | 8B | |
| | | | emotion2vec+large <br> ([⭐](https://modelscope.cn/models/iic/emotion2vec_plus_large/summary) [🤗](https://huggingface.co/emotion2vec/emotion2vec_plus_large) ) | 情感识别模型 | 40000小时,4种情感类别 | 300M | |
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| | | <a name="快速开始"></a> |
| | | ## 快速开始 |