xuning / sherpaonnx

It refactors the release scripts to centralize and simplify version updates across 
multiple files. Key changes include:

- Introducing variables (old_version, new_version, replace_str) for version substitution.
- Replacing hard-coded sed expressions with dynamic ones in various files.
- Ensuring backup files generated by sed are cleaned up after execution.

Adds support for Zipformer transducer ASR models that use Whisper-style 
features by introducing a new feature flag, parsing metadata, 
and integrating per-chunk normalization.

- Introduce UseWhisperFeature in the model interface and Zipformer implementation
- Parse "feature" metadata to set the whisper flag and wire it into the recognizer
- Update feature extraction logic to handle Whisper filterbanks with early returns

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.

See also https://github.com/mtkresearch/BreezeApp

- generate samples for https://k2-fsa.github.io/sherpa/onnx/tts/all/
- provide int8 model for kokoro v0.19 kokoro-int8-en-v0_19.tar.bz2

Handle the case when the input audio contains no speeches.

Fix linking with C++ examples.

Co-authored-by: gxy <gxy@conwi.cn>

Fix normalizer for int16_t samples in flutter_examples.

Co-authored-by: cqm <cqm@97kid.com>

Co-authored-by: cqm <cqm@97kid.com>

Now it supports FFT of an even number, not necessarily a power of 2.

* feat: Added LibraryLoader that allows loading to be skipped

* feat: Changed static call to new LibraryLoader

* feat: Makefile adjustment