Add speech2text model for offline #614
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Enable to pass SSL endpoint to cope with WinError 10054
Support for receiving captured audio one chunk at a time, while continuing to use the wakeword and audio energy detection code.
Add `stream=` kwarg to `Recognizer.listen`
Remove distutils.log from setup.py
* Microphone is not tested currently * cope with at other opportunity
Remove deprecated distutils.version from __init__.py
Support Python 3.12
>_Warning: Package 'speech_recognition.recognizers' is absent from the `packages` configuration.
Install PyAudio in unittest Action
Adopt pytest
Tidy dependencies: requests
Install aifc and audioop in Python 3.13
* PyTorch does not support 3.13 yet
Co-authored-by: Copilot <[email protected]>
Add test recognize_vosk()
refactor: Extract `recognize_vosk`
…ify-output-format Add verbose parameter to recognize_vosk()
…b-in-setup-vosk-py feat: Download Vosk model with `sprc download vosk`
…e-for-consumers feat: add additional type inference for consumers
…e-840 docs: add additional type hints (follow up #840)
Include `soundfile` in `faster-whisper` extra
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Try using speech2text than pocketsphinx because its more efficient, faster, accurate and pre-trained in large dataset