fd9a687ec2
Add support for the new NeMo Canary ASR model across multiple language bindings by introducing a Canary model configuration and setter method on the offline recognizer. - Define Canary model config in Pascal, Go, C#, Dart and update converter functions - Add SetConfig API for offline recognizer (Pascal, Go, C#, Dart) - Extend CI/workflows and example scripts to test non-streaming Canary decoding
Introduction
sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team.
It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.
It does not require Internet connection during recognition.
See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.
Please see https://github.com/k2-fsa/sherpa-onnx/tree/dot-net/dotnet-examples for how to use C# APIs of this package.