feat(whisper): add Whisper plugin for LiveKit #1392
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Introduce the Whisper plugin for LiveKit, enabling offline speech-to-text capabilities using local Whisper model inference. This includes: - Initial setup of the plugin structure with classes for Whisper model, speech-to-text processing, and audio utilities. - Configuration files such as `CHANGELOG.md` and `README.md` for version tracking and documentation. - Integration with essential libraries like `numpy`, `ctranslate2`, and `faster_whisper` for enhanced audio processing and transcription. - Setup files (`setup.py`, `pyproject.toml`) for building and packaging the plugin.
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Introduce the Whisper plugin for LiveKit, enabling offline speech-to-text capabilities using local Whisper model inference. This includes:
numpy,ctranslate2, andfaster_whisperfor enhanced audio processing and transcription.setup.py,pyproject.toml) for building and packaging the plugin.