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Merge pull request #886 from pipecat-ai/aleix/koala-noise-suppression
audio(koala): add new audio filter KoalaFilter
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# | ||
# Copyright (c) 2024, Daily | ||
# | ||
# SPDX-License-Identifier: BSD 2-Clause License | ||
# | ||
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from typing import Sequence | ||
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import numpy as np | ||
from loguru import logger | ||
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from pipecat.audio.filters.base_audio_filter import BaseAudioFilter | ||
from pipecat.frames.frames import FilterControlFrame, FilterEnableFrame | ||
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try: | ||
import pvkoala | ||
except ModuleNotFoundError as e: | ||
logger.error(f"Exception: {e}") | ||
logger.error("In order to use the Koala filter, you need to `pip install pipecat-ai[koala]`.") | ||
raise Exception(f"Missing module: {e}") | ||
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class KoalaFilter(BaseAudioFilter): | ||
"""This is an audio filter that uses Koala Noise Suppression (from | ||
PicoVoice). | ||
""" | ||
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def __init__(self, *, access_key: str) -> None: | ||
self._access_key = access_key | ||
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self._filtering = True | ||
self._sample_rate = 0 | ||
self._koala = pvkoala.create(access_key=f"{self._access_key}") | ||
self._koala_ready = True | ||
self._audio_buffer = bytearray() | ||
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async def start(self, sample_rate: int): | ||
self._sample_rate = sample_rate | ||
if self._sample_rate != self._koala.sample_rate: | ||
logger.warning( | ||
f"Koala filter needs sample rate {self._koala.sample_rate} (got {self._sample_rate})" | ||
) | ||
self._koala_ready = False | ||
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async def stop(self): | ||
self._koala.reset() | ||
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async def process_frame(self, frame: FilterControlFrame): | ||
if isinstance(frame, FilterEnableFrame): | ||
self._filtering = frame.enable | ||
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async def filter(self, audio: bytes) -> bytes: | ||
if not self._koala_ready or not self._filtering: | ||
return audio | ||
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self._audio_buffer.extend(audio) | ||
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filtered_data: Sequence[int] = [] | ||
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num_frames = len(self._audio_buffer) // 2 | ||
while num_frames >= self._koala.frame_length: | ||
# Grab the number of frames required by Koala. | ||
num_bytes = self._koala.frame_length * 2 | ||
audio = bytes(self._audio_buffer[:num_bytes]) | ||
# Process audio | ||
data = np.frombuffer(audio, dtype=np.int16).tolist() | ||
filtered_data += self._koala.process(data) | ||
# Adjust audio buffer and check again | ||
self._audio_buffer = self._audio_buffer[num_bytes:] | ||
num_frames = len(self._audio_buffer) // 2 | ||
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filtered = np.array(filtered_data, dtype=np.int16).tobytes() | ||
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return filtered |