RNNoise Audio Filter

Overview

RNNoiseFilter is an audio processor that reduces background noise in real-time audio streams using RNNoise, a recurrent neural network for audio noise reduction. It inherits from BaseAudioFilter and processes audio frames via the pyrnnoise library. RNNoise is a free, open-source noise suppression solution that requires no API keys or external services.

Installation

The RNNoise filter requires additional dependencies:

uv add "pipecat-ai[rnnoise]"

Constructor Parameters

str | None

default:"None"

deprecated

Deprecated since 1.16.0, removed in 2.0.0. Has no effect. No replacement.

Input Frames

Frame

Specific control frame to toggle filtering on/off. Queue the frame into the pipeline to toggle the filter used as audio_in_filter:

from pipecat.frames.frames import FilterEnableFrame

# Disable noise suppression
await worker.queue_frame(FilterEnableFrame(False))

# Re-enable noise suppression
await worker.queue_frame(FilterEnableFrame(True))

Usage Example

from pipecat.audio.filters.rnnoise_filter import RNNoiseFilter
from pipecat.transports.daily.transport import DailyTransport, DailyParams

transport = DailyTransport(
    room_url,
    token,
    "Respond bot",
    DailyParams(
        audio_in_enabled=True,
        audio_in_filter=RNNoiseFilter(),  # Enable RNNoise noise suppression
        audio_out_enabled=True,
    ),
)

Notes

No API key or external service required (fully local processing)
RNNoise operates at 48kHz internally; automatic resampling is applied for other sample rates
Handles 16-bit PCM audio format
Can be dynamically enabled/disabled via FilterEnableFrame
Buffers audio to match RNNoise’s required frame length (480 samples)

Get Started

Standards

Pipecat Server

Client SDKs

Pipecat Flows

Pipecat Cloud

CLI

Pipecat Context Hub

RNNoise Audio Filter

Overview

Installation

Constructor Parameters

Input Frames

Usage Example

Notes

​Overview

​Installation

​Constructor Parameters

​Input Frames

​Usage Example

​Notes

Overview

Installation

Constructor Parameters

Input Frames

Usage Example

Notes