| | |
| | | |
| | | <a name="最新动态"></a> |
| | | ## 最新动态 |
| | | - 2024/10/29: 中文实时语音听写服务 1.12 发布,2pass-offline模式支持SensevoiceSmall模型;详细信息参阅([部署文档](runtime/readme_cn.md)) |
| | | - 2024/10/10:新增加Whisper-large-v3-turbo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。 |
| | | - 2024/09/26: 中文离线文件转写服务 4.6、英文离线文件转写服务 1.7、中文实时语音听写服务 1.11 发布,修复ONNX内存泄漏、支持SensevoiceSmall onnx模型;中文离线文件转写服务GPU 2.0 发布,修复显存泄漏; 详细信息参阅([部署文档](runtime/readme_cn.md)) |
| | | - 2024/09/25:新增语音唤醒模型,支持[fsmn_kws](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-online), [fsmn_kws_mt](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-online), [sanm_kws](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-offline), [sanm_kws_streaming](https://modelscope.cn/models/iic/speech_sanm_kws_phone-xiaoyun-commands-online) 4个模型的微调和推理。 |
| | | - 2024/07/04:[SenseVoice](https://github.com/FunAudioLLM/SenseVoice) 是一个基础语音理解模型,具备多种语音理解能力,涵盖了自动语音识别(ASR)、语言识别(LID)、情感识别(SER)以及音频事件检测(AED)。 |
| | | - 2024/07/01:中文离线文件转写服务GPU版本 1.1发布,优化bladedisc模型兼容性问题;详细信息参阅([部署文档](runtime/readme_cn.md)) |
| | | - 2024/06/27:中文离线文件转写服务GPU版本 1.0发布,支持动态batch,支持多路并发,在长音频测试集上单线RTF为0.0076,多线加速比为1200+(CPU为330+);详细信息参阅([部署文档](runtime/readme_cn.md)) |
| | |
| | | |
| | | | 模型名字 | 任务详情 | 训练数据 | 参数量 | |
| | | |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------:|:--------------:|:------:| |
| | | | SenseVoiceSmall <br> ([⭐](https://www.modelscope.cn/models/iic/SenseVoiceSmall) [🤗](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) ) | 多种语音理解能力,涵盖了自动语音识别(ASR)、语言识别(LID)、情感识别(SER)以及音频事件检测(AED) | 400000小时,中文 | 330M | |
| | | | SenseVoiceSmall <br> ([⭐](https://www.modelscope.cn/models/iic/SenseVoiceSmall) [🤗](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) ) | 多种语音理解能力,涵盖了自动语音识别(ASR)、语言识别(LID)、情感识别(SER)以及音频事件检测(AED) | 400000小时,中文 | 330M | |
| | | | 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) ) | 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 | 290M | |
| | | | 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 | |
| | | | fsmn-kws <br> ( [⭐](https://modelscope.cn/models/iic/speech_charctc_kws_phone-xiaoyun/summary) ) | 语音唤醒,实时 | 5000小时,中文 | 0.7M | |
| | | | 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 | |
| | | | Whisper-large-v3-turbo <br> ([⭐](https://www.modelscope.cn/models/iic/Whisper-large-v3-turbo/summary) [🍀](https://github.com/openai/whisper) ) | 语音识别,带时间戳输出,非实时 | 多语言 | 809 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 | |