Hey guys, I’m working on a voice AI agent using Li...
# ask-ai
d
Hey guys, I’m working on a voice AI agent using LiveKit and integrating Silero VAD for turn detection. Right now, it feels too sensitive, even slight breathing or air noise is causing it to trigger end-of-speech. Has anyone found an optimal configuration (like tweaking
threshold
,
min_speech_duration_ms
, or
min_silence_duration_ms
) to make it more suitable for natural conversation turn-taking? Would appreciate any suggestions or shared configs that worked well for you!
t
Thanks for reaching out, Arjun. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To optimize Silero VAD for natural conversation turn-taking in your LiveKit integration, you can adjust these key parameters: • activation_threshold: Controls sensitivity to speech. A higher threshold (0.6-0.7) reduces false triggers like breathing noise but might miss softer speech; a lower threshold (0.3-0.5) is more sensitive but prone to false positives. • min_speech_duration: Minimum detected speech duration to start a speech segment. Defaults around 0.05s (50ms). Increasing this to 0.2-0.3s can filter out very short non-speech sounds. • min_silence_duration: Minimum silence duration to consider speech ended. Default is about 0.55s. Adjusting this to 0.5-0.7s can allow natural pauses without prematurely ending the turn. Example configuration:
Copy code
vad = silero.VAD.load(
    activation_threshold=0.6,          # Reduce false triggers
    min_speech_duration=0.05,          # Detect short utterances
    min_silence_duration=0.5,          # Balance responsiveness and natural pauses
)
Adjust these parameters based on your environment noise and desired conversational flow: increase thresholds and durations to reduce false triggers in noisy settings or lower them to improve sensitivity in quiet ones. This approach can help manage sensitivity issues with breathing or air noise triggering end-of-speech prematurely.