This PR introduces support for NeMo Canary models across C, C++, and JavaScript APIs
by adding new Canary configuration structures, updating bindings, extending examples,
and enhancing CI workflows.
- Add OfflineCanaryModelConfig to all language bindings (C, C++, JS, ETS).
- Implement SetConfig methods and NAPI wrappers for updating recognizer config at runtime.
- Update examples and CI scripts to demonstrate and test NeMo Canary model usage.
This PR adds support for non-streaming Zipformer CTC ASR models across
multiple language bindings, WebAssembly, examples, and CI workflows.
- Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs
- Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js
- Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models
Model doc is available at
https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
Replace the deprecated portaudio-go integration with malgo in the Go real-time
speech recognition example and correct version string typos in the Node.js examples.
- Fixed “verison” typo in Node.js console logs.
- Swapped out portaudio-go for malgo in the Go microphone example,
introducing initRecognizer, callback-driven streaming, and sample conversion.
- Removed portaudio-go from go.mod.
* Support streaming zipformer CTC
* test online zipformer2 CTC
* Update doc of sherpa-onnx.cc
* Add Python APIs for streaming zipformer2 ctc
* Add Python API examples for streaming zipformer2 ctc
* Swift API for streaming zipformer2 CTC
* NodeJS API for streaming zipformer2 CTC
* Kotlin API for streaming zipformer2 CTC
* Golang API for streaming zipformer2 CTC
* C# API for streaming zipformer2 CTC
* Release v1.9.6
