Run live speech transcription on Raspberry Pi 5 with faster-whisper and WhisperLive, see the transcription results as they are processed and send the final output to an LLM or TTS. Less finicky than SDL2, WhisperLive instead uses PyAudio for audio capture. Tested with two microphones: ReSpeaker 2-Mics Pi HAT and ReSpeaker USB Mic Array.

How to make whisper.cpp transcribe faster? (audio_ctx explanation)
[ Ссылка ]

Microphones:
[ Ссылка ]
[ Ссылка ]

Barebone single-threaded implementation of FasterWhisper transcription from the microphone
[ Ссылка ]

My fork of whisper.cpp Python bindings
[ Ссылка ]

My fork of Whisper live - git clone this to follow along the video
[ Ссылка ]

faster-whisper repository
[ Ссылка ]

Piper TTS
[ Ссылка ]

свернуть