NoisereduceFilter

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Overview

NoisereduceFilter is an audio processor that reduces background noise in real-time audio streams using the noisereduce library. It inherits from BaseAudioFilter and processes audio frames to improve audio quality by removing unwanted noise.

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Installation

The noisereduce filter requires additional dependencies:

pip install pipecat-ai[noisereduce]

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Constructor Parameters

This filter has no configurable parameters in its constructor.

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Input Frames

# Disable noise reduction
await task.queue_frame(FilterEnableFrame(False))

# Re-enable noise reduction
await task.queue_frame(FilterEnableFrame(True))

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Usage Example

transport = DailyTransport(
    room_url,
    token,
    "Respond bot",
    DailyParams(
        audio_in_filter=NoisereduceFilter(), # Enable noise reduction
        audio_out_enabled=True,
        vad_enabled=True,
        vad_analyzer=SileroVADAnalyzer(),
        vad_audio_passthrough=True,
    ),
)

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Audio Flow

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Notes

• Lightweight alternative to Krisp for noise reduction
• Supports real-time audio processing
• Handles PCM_16 audio format
• Thread-safe for pipeline processing
• Can be dynamically enabled/disabled
• No additional configuration required
• Uses statistical noise reduction techniques