feat(whisper): add Whisper plugin for LiveKit

[imsakg]

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.
• 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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[skiiruu]

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.

* 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.

This helps a lot, thanks!

[theomonnom]

Hey, this is awesome, we're looking into merging this after we release v1.0! We're going to expose our inference process API so we make sure to load the model only once is multiprocessing scenario