is silero vad supporting streaming? because the model v6.2 has streaming now.

Thanks for reaching out, Filippo. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

best params for silero vad 6.2?

Thanks — I’m responding to your request about the best parameters for Silero VAD (you mentioned v6.2). I’ll share recommended parameter values used with LiveKit’s Silero VAD plugin and give tuning guidance depending on your use case. Recommended starting parameters • `min_speech_duration`: 0.05 (seconds) — minimum speech length to start a speech chunk. • `min_silence_duration`: 0.55 (seconds) — silence length to consider the user finished speaking. • `prefix_padding_duration`: 0.5 (seconds) — audio padding added to the start of each speech chunk. • `max_buffered_speech`: 60.0 (seconds) — maximum speech kept in buffer before processing. • `activation_threshold`: 0.5 — confidence threshold to classify audio as speech (lower = more sensitive). • `sample_rate`: 16000 (supported: 8000 or 16000 Hz). • `force_cpu`: True — forces CPU inference. How to tune these for common needs • Faster agent responses / lower latency: ◦ Reduce

min_silence_duration

to ~0.3–0.5s. This makes the system detect end-of-utterance sooner but can increase false splits. • Fewer interruptions (more conservative turn endings): ◦ Increase

min_silence_duration

to ~0.7–1.0s to avoid cutting off longer pauses. • Noisy environments: ◦ Increase

activation_threshold

to ~0.6–0.7 to reduce false positives from noise. • Very short utterances (e.g., quick confirmations): ◦ Lower

min_speech_duration

slightly (but be careful—too low increases false triggers). • Low-bandwidth / telephony: ◦ Use

sample_rate

8000 if your audio source is narrowband. Practical tips • Start with the defaults above and adjust one parameter at a time while testing with representative audio. •

min_silence_duration

has the biggest impact on perceived responsiveness vs. stability of turn detection — tune this based on how interruptible you want the agent to be. • Prewarm the VAD model once per process to reduce latency on first use. Notes about v6.2 • The LiveKit Silero VAD integration provides a streaming interface (

vad.stream()

) and is designed for real-time processing. I cannot confirm the exact Silero model version in your LiveKit build without knowing which LiveKit release/package you’re running — but these parameters are applicable across Silero VAD integrations. Would you like: • A short example showing

silero.VAD.load()

with these parameters and

vad.stream()

usage? • Help tuning values for a specific scenario (call center, noisy room, short-turn dialog, etc.) — tell me the environment and goals and I’ll suggest exact numbers to try. Sources: Silero VAD plugin | LiveKit Documentation | VAD and turn detection configuration guide | LiveKit | Gemini Realtime Agent with Live Vision | LiveKit Documentation | Repeater | LiveKit Documentation | Improving voice AI's turn detection with transformers