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
This directory contains examples for how to use the Object Pascal APIs of sherpa-onnx.
Documentation for this directory: https://k2-fsa.github.io/sherpa/onnx/pascal-api/index.html
| Directory | Description |
|---|---|
| read-wav | It shows how to read a wave file. |
| speaker-diarization | It shows how to use Pascal API for speaker diarization. |
| streaming-asr | It shows how to use streaming models for speech recognition. |
| non-streaming-asr | It shows how to use non-streaming models for speech recognition. |
| vad | It shows how to use the voice activity detection API. |
| vad-with-non-streaming-asr | It shows how to use the voice activity detection API with non-streaming models for speech recognition. |
| portaudio-test | It shows how to use PortAudio for recording and playing. |
| tts | It shows how to use the text-to-speech API. |