https://github.com/rapidai/rapidasr

📣 商用级开源语音自动识别程序库，开箱即用，全平台支持，中英文混合识别。A Cross-platform implementation of ASR inference. It's based on ONNXRuntime and FunASR. We provide a set of easier APIs to call ASR models.
https://github.com/rapidai/rapidasr

asr paddlespeech paraformer wenet

Last synced: about 1 month ago
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📣 商用级开源语音自动识别程序库，开箱即用，全平台支持，中英文混合识别。A Cross-platform implementation of ASR inference. It's based on ONNXRuntime and FunASR. We provide a set of easier APIs to call ASR models.

• Host: GitHub
• URL: https://github.com/rapidai/rapidasr
• Owner: RapidAI
• License: mit
• Created: 2021-12-15T06:49:38.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-15T04:52:36.000Z (about 1 year ago)
• Last Synced: 2025-05-14T19:14:44.447Z (about 1 month ago)
• Topics: asr, paddlespeech, paraformer, wenet
• Language: C++
• Homepage:
• Size: 35.8 MB
• Stars: 550
• Watchers: 18
• Forks: 64
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Rapid ASR



    

    

    

    

    



- 🎉 推出知识星球[RapidAI私享群](https://t.zsxq.com/0duLBZczw)，这里的提问会优先得到回答和支持，也会享受到RapidAI组织后续持续优质的服务。欢迎大家的加入。

- Paraformer模型出自阿里达摩院[Paraformer语音识别-中文-通用-16k-离线-large-pytorch](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)。

- 本仓库仅对模型做了转换，只采用ONNXRuntime推理引擎。该项目核心代码已经并入[FunASR](https://github.com/alibaba-damo-academy/FunASR)。

- 项目仍会持续更新，欢迎关注。

- QQ群号：645751008

#### 📖文档导航

- 语音识别：

    - rapid_paraformer:

        - [rapid_paraformer-Python](./python/README.md)

        - [rapid_C++/C](./cpp_onnx/readme.md)

    - [rapid_wenet](https://github.com/RapidAI/RapidASR/tree/rapid_wenet)

        - [Python](https://github.com/RapidAI/RapidASR/tree/rapid_wenet/python)

        - [C++](https://github.com/RapidAI/RapidASR/tree/rapid_wenet/cpp)

    - [rapid_paddlespeech-Python](https://github.com/RapidAI/RapidASR/tree/rapid_paddlespeech)

- 标点符号

    - [RapidPunc](https://github.com/RapidAI/RapidPunc)

#### 📆TODO以及任务认领

- 参见这里：[link](https://github.com/RapidAI/RapidASR/issues/15)

#### 🎨整体框架

```mermaid

flowchart LR

A([wav]) --RapidVad--> B([各个小段的音频]) --RapidASR--> C([识别的文本内容]) --RapidPunc--> D([最终识别内容])

```

#### 📣更新日志

详情

- 2023-08-21 v2.0.4 update:

  - 添加whl包支持

  - 更新文档

- 2023-02-25

   - 添加C++版本推理，使用onnxruntime引擎，预/后处理代码来自： [FastASR](https://github.com/chenkui164/FastASR)

- 2023-02-14 v2.0.3 update:

  - 修复librosa读取wav文件错误

  - 修复fbank与torch下fbank提取结果不一致bug

- 2023-02-11 v2.0.2 update:

  - 模型和推理代码解耦（`rapid_paraformer`和`resources`）

  - 支持批量推理（通过`resources/config.yaml`中`batch_size`指定）

  - 增加多种输入方式（`Union[str, np.ndarray, List[str]]`）

- 2023-02-10 v2.0.1 update:

  - 添加对输入音频为噪音或者静音的文件推理结果捕捉。