Can I use vad to filter input frame?
# ask-ai
h
Can I use vad to filter input frame?
t
Thanks for reaching out, YUNYI. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Yes, VAD (Voice Activity Detection) can be used to filter input frames in LiveKit. For example, in the echo-agent.py example, VAD is utilized to: This demonstrates how VAD streams process audio frames and emit events that can be used to filter and handle audio input based on speech detection. Sources: GitHub:: LiveKit Composite Repo | livekit/agents/examples/primitives/echo-a...
h
This demonstrates how VAD streams process audio frames and emit events that can be used to filter and handle audio input based on speech detection. I can't see the code
t
Hey there! Let me walk you through a cool example of how Voice Activity Detection (VAD) works in the echo-agent.py for LiveKit - it's actually pretty neat!
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# Load the Silero VAD
vad = silero.VAD.load(
    min_speech_duration=0.2,
    min_silence_duration=0.6,
)
vad_stream = vad.stream()

# Detect when speech starts and ends
if vad_event.type == VADEventType.START_OF_SPEECH:
    is_speaking = True
    # Keep some previous frames to capture the beginning of speech
elif vad_event.type == VADEventType.END_OF_SPEECH:
    is_speaking = False
    is_echoing = True
    # Play back the recorded speech
Here's what's happening in this code - it's kind of like having a smart assistant that knows exactly when you're talking: • Uses Silero VAD to detect speech activity. • Buffers audio in a queue while the user is speaking. • Plays back the recorded speech after detecting the end of speech. • Switches between "listening" and "speaking" states based on the VAD events. Pretty cool, right? This shows how you can create an interactive audio application that really understands when you're speaking. If you want to dive deeper or have any questions, I'm totally here to help! Sources: GitHub::LiveKit Agents | examples/primitives/echo-agent.py
h
yunyichi@Mac livekit % python voice_agent_fireworksai.py console Traceback (most recent call last): File "/Users/yunyichi/Desktop/fireworks_api/livekit/voice_agent_fireworksai.py", line 46, in <module> from livekit.agents.vad import VAD, VADEventType, SileroVAD ImportError: cannot import name 'SileroVAD' from 'livekit.agents.vad' (/Users/yunyichi/.pyenv/versions/3.12.3/lib/python3.12/site-packages/livekit/agents/vad.py)
t
Hey there! I totally understand the import confusion. Let me help you fix that quickly. To get the Silero VAD working smoothly, you'll want to update your import like this:
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from livekit.plugins.silero import VAD, VADStream
Pro tip: Make sure you've got the Silero VAD plugin installed too. Just run this quick command:
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pip install livekit-plugins-silero
No worries if you run into any more questions – I'm here to help! Feel free to reach out if you need anything else. 😊 Sources: GitHub::LiveKit Agents | livekit-plugins/livekit-plugins-silero/livekit/plu...
h
2025-06-24 125456,683 - ERROR livekit.agents - unhandled exception while running the job task Traceback (most recent call last): File "/Users/yunyichi/Desktop/fireworks_api/livekit/voice_agent_fireworksai.py", line 1090, in entrypoint vad = VAD() ^^^^^ TypeError: VAD.__init__() missing 2 required keyword-only arguments: 'session' and 'opts'
t
Hey there! I totally get why you might be running into this error. The
VAD
class can be a bit tricky – it needs some specific setup with
session
and
opts
arguments. But no worries! The
load()
class method is your friendly helper that takes care of all that behind the scenes. Let me show you a super simple way to get this working:
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def prewarm(proc: JobProcess):
    proc.userdata["vad"] = silero.VAD.load()  

async def entrypoint(ctx: JobContext):
    vad = ctx.proc.userdata["vad"]
    # your agent logic...
See how easy that is? The
load()
method does all the heavy lifting for you, creating those session and options objects automatically. I hope this helps clear things up! If you're still scratching your head or need more guidance, just give me a shout – I'm always happy to help! Sources: livekit.plugins.silero API documentation