audio(vad): add new VADController
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169
src/pipecat/audio/vad/vad_controller.py
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169
src/pipecat/audio/vad/vad_controller.py
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#
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# Copyright (c) 2024-2026, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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"""Voice Activity Detection controller for managing speech state transitions.
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This module provides a controller that wraps a VADAnalyzer to track speech state
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and emit events when speech starts, stops, or is actively detected.
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"""
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import time
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from typing import Type
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from pipecat.audio.vad.vad_analyzer import VADAnalyzer, VADState
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from pipecat.frames.frames import (
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Frame,
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InputAudioRawFrame,
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SpeechControlParamsFrame,
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StartFrame,
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VADParamsUpdateFrame,
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)
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from pipecat.processors.frame_processor import FrameDirection
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from pipecat.utils.base_object import BaseObject
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class VADController(BaseObject):
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"""Manages voice activity detection state and emits speech events.
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Wraps a `VADAnalyzer` to process audio and trigger events based on speech
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state transitions. Tracks whether the user is speaking, quiet, or
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transitioning between states.
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Event handlers available:
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- on_speech_started: Called when speech begins.
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- on_speech_stopped: Called when speech ends.
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- on_speech_activity: Called periodically while speech is detected.
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- on_push_frame: Called when the controller wants to push a frame.
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- on_broadcast_frame: Called when the controller wants to broadcast a frame.
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Example::
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@vad_controller.event_handler("on_speech_started")
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async def on_speech_started(controller):
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...
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@vad_controller.event_handler("on_speech_stopped")
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async def on_speech_stopped(controller):
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...
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@vad_controller.event_handler("on_speech_activity")
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async def on_speech_activity(controller):
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...
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@vad_controller.event_handler("on_push_frame")
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async def on_push_frame(controller, frame: Frame, direction: FrameDirection):
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...
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@vad_controller.event_handler("on_broadcast_frame")
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async def on_broadcast_frame(controller, frame_cls: Type[Frame], **kwargs):
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...
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"""
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def __init__(self, vad_analyzer: VADAnalyzer, *, speech_activity_period: float = 0.2):
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"""Initialize the VAD controller.
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Args:
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vad_analyzer: The `VADAnalyzer` instance for processing audio.
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speech_activity_period: Minimum interval in seconds between
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`on_speech_activity` events. Defaults to 0.2.
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"""
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super().__init__()
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self._vad_analyzer = vad_analyzer
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self._vad_state: VADState = VADState.QUIET
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# Last time a on_speech_activity was triggered.
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self._speech_activity_time = 0
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# How often a on_speech_activity event should be triggered (value should
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# be greater than the audio chunks to have any effect).
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self._speech_activity_period = speech_activity_period
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self._register_event_handler("on_speech_started", sync=True)
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self._register_event_handler("on_speech_stopped", sync=True)
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self._register_event_handler("on_speech_activity", sync=True)
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self._register_event_handler("on_push_frame", sync=True)
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self._register_event_handler("on_broadcast_frame", sync=True)
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async def process_frame(self, frame: Frame):
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"""Process a frame and handle VAD-related events.
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Handles `StartFrame` to initialize the sample rate and `InputAudioRawFrame`
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to analyze audio for voice activity.
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Args:
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frame: The frame to process.
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"""
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if isinstance(frame, StartFrame):
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await self._start(frame)
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elif isinstance(frame, InputAudioRawFrame):
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await self._handle_audio(frame)
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elif isinstance(frame, VADParamsUpdateFrame):
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self._vad_analyzer.set_params(frame.params)
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await self.broadcast_frame(SpeechControlParamsFrame, vad_params=frame.params)
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async def _start(self, frame: StartFrame):
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self._vad_analyzer.set_sample_rate(frame.audio_in_sample_rate)
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async def _handle_audio(self, frame: InputAudioRawFrame):
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"""Process an audio chunk and emit speech events as needed.
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Analyzes the audio for voice activity and triggers `on_speech_started`,
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`on_speech_stopped`, or `on_speech_activity` events based on state changes.
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Args:
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frame: Audio frame to process.
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"""
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self._vad_state = await self._handle_vad(frame.audio, self._vad_state)
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if self._vad_state == VADState.SPEAKING:
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await self._call_event_handler("on_speech_activity")
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async def _handle_vad(self, audio: bytes, vad_state: VADState) -> VADState:
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"""Handle Voice Activity Detection results and trigger appropriate events."""
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new_vad_state = await self._vad_analyzer.analyze_audio(audio)
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if (
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new_vad_state != vad_state
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and new_vad_state != VADState.STARTING
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and new_vad_state != VADState.STOPPING
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):
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if new_vad_state == VADState.SPEAKING:
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await self._call_event_handler("on_speech_started")
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elif new_vad_state == VADState.QUIET:
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await self._call_event_handler("on_speech_stopped")
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vad_state = new_vad_state
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return vad_state
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async def _maybe_speech_activity(self):
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"""Handle user speaking frame."""
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diff_time = time.time() - self._speech_activity_time
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if diff_time >= self._speech_activity_period:
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self._speech_activity_time = time.time()
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await self._call_event_handler("on_speech_activity")
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async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM):
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"""Request a frame to be pushed through the pipeline.
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This emits an on_push_frame event that must be handled by a processor
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to actually push the frame into the pipeline.
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Args:
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frame: The frame to push.
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direction: The direction to push the frame.
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"""
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await self._call_event_handler("on_push_frame", frame, direction)
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async def broadcast_frame(self, frame_cls: Type[Frame], **kwargs):
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"""Request a frame to be broadcast upstream and downstream.
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This emits an on_broadcast_frame event that must be handled by a processor
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to actually broadcast the frame in the pipeline.
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Args:
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frame_cls: The class of the frame to broadcast.
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**kwargs: Arguments to pass to the frame constructor.
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"""
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await self._call_event_handler("on_broadcast_frame", frame_cls, **kwargs)
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