From 742a278c0509ee521f9b9fe0f011b29f42ef2a5b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= <aleix@daily.co>
Date: Mon, 30 Mar 2026 13:58:14 -0700
Subject: [PATCH] audio(filters): remove NoisereduceFilter

---
 pyproject.toml                                |   1 -
 .../audio/filters/noisereduce_filter.py       | 104 ------------------
 2 files changed, 105 deletions(-)
 delete mode 100644 src/pipecat/audio/filters/noisereduce_filter.py

diff --git a/pyproject.toml b/pyproject.toml
index 851c8c709..8accf7a4c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -94,7 +94,6 @@ mlx-whisper = [ "mlx-whisper~=0.4.2" ]
 moondream = [ "accelerate~=1.10.0", "einops~=0.8.0", "pyvips[binary]~=3.0.0", "timm~=1.0.13", "transformers>=4.48.0,<6" ]
 nebius = []
 neuphonic = [ "pipecat-ai[websockets-base]" ]
-noisereduce = [ "noisereduce~=3.0.3" ]
 novita = []
 nvidia = [ "nvidia-riva-client>=2.25.1,<3" ]
 openai = [ "pipecat-ai[websockets-base]" ]
diff --git a/src/pipecat/audio/filters/noisereduce_filter.py b/src/pipecat/audio/filters/noisereduce_filter.py
deleted file mode 100644
index 377a45ff3..000000000
--- a/src/pipecat/audio/filters/noisereduce_filter.py
+++ /dev/null
@@ -1,104 +0,0 @@
-#
-# Copyright (c) 2024-2026, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-"""Noisereduce audio filter for Pipecat.
-
-This module provides an audio filter implementation using the noisereduce
-library to reduce background noise in audio streams through spectral
-gating algorithms.
-"""
-
-import numpy as np
-from loguru import logger
-
-from pipecat.audio.filters.base_audio_filter import BaseAudioFilter
-from pipecat.frames.frames import FilterControlFrame, FilterEnableFrame
-
-try:
-    import noisereduce as nr
-except ModuleNotFoundError as e:
-    logger.error(f"Exception: {e}")
-    logger.error(
-        "In order to use the noisereduce filter, you need to `pip install pipecat-ai[noisereduce]`."
-    )
-    raise Exception(f"Missing module: {e}")
-
-
-class NoisereduceFilter(BaseAudioFilter):
-    """Audio filter using the noisereduce library for noise suppression.
-
-    Applies spectral gating noise reduction algorithms to suppress background
-    noise in audio streams. Uses the noisereduce library's default noise
-    reduction parameters.
-
-    .. deprecated:: 0.0.85
-        `NoisereduceFilter` is deprecated and will be removed in a future version.
-        We recommend using other real-time audio filters like `KrispFilter` or `AICFilter`.
-    """
-
-    def __init__(self) -> None:
-        """Initialize the noisereduce filter."""
-        self._filtering = True
-        self._sample_rate = 0
-
-        import warnings
-
-        with warnings.catch_warnings():
-            warnings.simplefilter("always")
-            warnings.warn(
-                "`NoisereduceFilter` is deprecated. "
-                "Use other real-time audio filters like `KrispFilter` or `AICFilter`.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-
-    async def start(self, sample_rate: int):
-        """Initialize the filter with the transport's sample rate.
-
-        Args:
-            sample_rate: The sample rate of the input transport in Hz.
-        """
-        self._sample_rate = sample_rate
-
-    async def stop(self):
-        """Clean up the filter when stopping."""
-        pass
-
-    async def process_frame(self, frame: FilterControlFrame):
-        """Process control frames to enable/disable filtering.
-
-        Args:
-            frame: The control frame containing filter commands.
-        """
-        if isinstance(frame, FilterEnableFrame):
-            self._filtering = frame.enable
-
-    async def filter(self, audio: bytes) -> bytes:
-        """Apply noise reduction to audio data using spectral gating.
-
-        Converts audio to float32, applies noisereduce processing, and returns
-        the filtered audio clipped to int16 range.
-
-        Args:
-            audio: Raw audio data as bytes to be filtered.
-
-        Returns:
-            Noise-reduced audio data as bytes.
-        """
-        if not self._filtering:
-            return audio
-
-        data = np.frombuffer(audio, dtype=np.int16)
-
-        # Add a small epsilon to avoid division by zero.
-        epsilon = 1e-10
-        data = data.astype(np.float32) + epsilon
-
-        # Noise reduction
-        reduced_noise = nr.reduce_noise(y=data, sr=self._sample_rate)
-        audio = np.clip(reduced_noise, -32768, 32767).astype(np.int16).tobytes()
-
-        return audio