<@U084APK40NS> How vad `min_speech_duration` param...
# ask-ai
s
@millions-hair-24956 How vad
min_speech_duration
parameter and VoicePipelineAgent
interrupt_speech_duration
paremeter work together?
g
It seems likely that the
min_speech_duration
parameter in the Silero VAD is used to define the minimum duration of speech required to start a new speech chunk, which helps in filtering out very short sounds that might not be intentional speech. On the other hand, the
interrupt_speech_duration
parameter in the VoicePipelineAgent specifies the minimum duration of speech detected by VAD that is required to consider an interruption intentional. This means that for an interruption to be recognized, the speech must meet the duration criteria set by both parameters. Would you like more detail on how these parameters interact or examples of their usage? Sources: - https://docs.livekit.io/agents/voice-agent/voice-pipeline/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@millions-hair-24956 are this parameters set in seconds or milliseconds?
g
The
min_speech_duration
parameter in the Silero VAD and the
interrupt_speech_duration
parameter in the VoicePipelineAgent are typically set in seconds. This is common for parameters related to speech processing durations. Would you like more detailed information on configuring these parameters? Sources: - VoicePipelineAgent | LiveKit Docs - Silero VAD Documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@millions-hair-24956 How is it that even though I set a high min_speech_duration (10 seconds) in VAD, short phrases like "Hello" are still being detected
g
It might be that the
min_speech_duration
parameter in the Silero VAD is intended to filter out very short sounds, but it does not prevent the detection of short phrases entirely. The parameter sets a threshold for starting a new speech chunk, but if the speech is detected as a valid chunk by other criteria, it might still be processed. Additionally, other settings or components in the pipeline, such as the STT model, might influence the detection of short phrases. Would you like more detailed information on how to adjust these settings to better filter short phrases? Sources: - https://docs.livekit.io/python/livekit/plugins/silero/index.html#livekit.plugins.silero.VAD - https://docs.livekit.io/python/livekit/plugins/silero/index.html#livekit.plugins.silero.VAD.load Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.