audio(vad): add new VADController

This commit is contained in:
Aleix Conchillo Flaqué
2026-01-28 10:13:34 -08:00
parent b1ad4d5ab0
commit ddfedaf478
2 changed files with 359 additions and 0 deletions

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