• Our vision is to offer an out-of-box engineering implementation for ASR
• A cpp implementation of recognize-onnx.py in Wenet-asr 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

• 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).

For a commercial user, we offer a library to resample input data including mp3, mp4, mkv and so on. Please visit: RapidAI/RapidAudioKit