Comments (2)
@kha84 This is exactly how Rhasspy 3 functions, actually 🙂
Audio recorded during wake word detection is kept into a deque with some maximum length (a ring buffer).
When the wake word is detected, this buffer is fed into the speech to text system and then audio chunks are streamed simultaneously to speech to text and silence detection.
There is a timestamp associated with each audio chunk, and I use this in the mic record sample script to rewind the ring buffer and find the closest audio chunk to an event (in this case, VAD). I may add this to the default audio pipeline as well, since it would be more accurate than just dumping the entire ring buffer into ASR.
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@synesthesiam Awesome! You're miles ahead of me. I'll go play with Rhasspy 3 immediately
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Related Issues (20)
- Custom wake word support HOT 3
- write() failed: Broken pipe HOT 2
- Pipeline seems to randomly hang after loading the wav2txt model HOT 4
- handle_adapter_text.py only supports one line of the response text
- suggestion: save and reuse conversation_id
- suggestion: simultaneous tts and snd
- [Question] Faster-Whisper Home Assistant GPU or Tensor (Coral) Suport? HOT 8
- suggestion: detect language using asr
- Enhancement: allow piper to use any of the voices available in libritts
- Outputting sound after wake word (satellite) HOT 1
- Docker image: non-ASCII characters in voice name trigger UnicodeEncodeError
- Add support for CUDA in piper HOT 1
- Suggestion: continuously listen to the wake word
- Timeout or lockup after "rhasspy3.vad:segment: speaking ended" with longer reply HOT 2
- Multi-Channel Audio Input Issues
- Pipeline that sends a feeback message after the wake word HOT 1
- Request: missing SDIST on Pypi or matching tag for 1.4.0 on Github, for easier Integration in Gentoo Overlay
- Adding whisper instead of faster-whisper as stt HOT 1
- Suggestion: Allow handle program to initiate conversations
- The `wyoming-v1` branch HOT 4
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