# RapidASR (base wenet)
- Our vision is to offer an out-of-box engineering implementation for ASR
- A cpp implementation of recognize-onnx.py in [Wenet-asr](https://github.com/wenet-e2e/wenet) in which it implements the inference with ONNXRuntime.
- For a version of pure CPP code, we need to do a bit of work to rewrite some components.
- Special thanks to its original author SlyneD.
- Less is more. Less dependency, more usability.
- Just offline mode, not support stream mode, aka separate files can be recognized.
- **QQ Group: 645751008**

## Notice:
- The project is under the protection of GPL V2, Apache license and commercial license.
- For so/dll/c++ interface, it complies with GPL V2.
- For python interface, it belongs to Apache license.
- For a commercial license, please contact us: znsoft@163.com (commercial license only).

## Commercial support
For a commercial user, we offer a library to resample input data including mp3, mp4, mkv  and so on.
Please visit: [RapidAI/RapidAudioKit](https://github.com/RapidAI/RapidAudioKit)