SileroVADAnalyzer

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Overview

SileroVADAnalyzer is a Voice Activity Detection (VAD) analyzer that uses the Silero VAD ONNX model to detect speech in audio streams. It provides high-accuracy speech detection with efficient processing using ONNX runtime.

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Installation

The Silero VAD analyzer requires additional dependencies:

pip install pipecat-ai[silero]

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Constructor Parameters

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Usage Example

transport = DailyTransport(
    room_url,
    token,
    "Respond bot",
    DailyParams(
        vad_enabled=True,
        vad_analyzer=SileroVADAnalyzer(
            sample_rate=16000,
            params=VADParams(
                threshold=0.5,
                min_speech_duration_ms=250,
                min_silence_duration_ms=100
            )
        ),
        vad_audio_passthrough=True
    ),
)

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Technical Details

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Sample Rate Requirements

The analyzer supports two sample rates:

• 8000 Hz (256 samples per frame)
• 16000 Hz (512 samples per frame)

Model Management

• Uses ONNX runtime for efficient inference
• Automatically resets model state every 5 seconds to manage memory
• Runs on CPU by default for consistent performance
• Includes built-in model file

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Notes

• High-accuracy speech detection
• Efficient ONNX-based processing
• Automatic memory management
• Thread-safe for pipeline processing
• Built-in model file included
• CPU-optimized inference
• Supports 8kHz and 16kHz audio