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.
* 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
* share GetHypsRowSplits interface and fix getting Topk not taking logprob
* fix lm score of lm fusion and make padding len same with 'icefall/egs/librispeech/ASR/pruned_transducer_stateless7_streaming/decode.py'
* Don't reset model state and feature extractor on endpointing
* support passing decoding_method from commandline
* Add modified_beam_search to Python API
* fix C API example
* Fix style issues
