Comments (5)
You might also be interested in SEPIA: https://sepia-framework.github.io/ They have a more developed Websocket protocol.
The assistant should be able to distinguish whether we are speaking to him or not?
I think this would require specific hardware. If the microphone could judge the direction the audio is coming from, you'd have a better idea.
THX. SEPIA looks very interesting. I will check it.
I'm interested on pusher https://pusher.com/docs/channels/channels_libraries/libraries/
However, there are still some details that do not conform to the IOT scene.
But we can refer to it to rewrite a version of the protocol.
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The key is to develop a set of communication protocols based on websocket.
Follow this protocol, you can code by any programming language.
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I don't think we need to wake up.
The assistant should be able to distinguish whether we are speaking to him or not?
Of course, this is a challenge.
He should make intelligent judgments according to the situation and decide the next step.
it is within people's control.
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You might also be interested in SEPIA: https://sepia-framework.github.io/
They have a more developed Websocket protocol.
The assistant should be able to distinguish whether we are speaking to him or not?
I think this would require specific hardware. If the microphone could judge the direction the audio is coming from, you'd have a better idea.
from rhasspy3.
array microphones can do that. I think we can use a camera to judge the direction of the eyes.
Think about how you can tell if another person is talking to you.
I think we can make this interaction process more humane.
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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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