Merge pull request #665 from pipecat-ai/aleix/fix-bot-started-stopped-speaking
transports(base_output): fix constant bot started/stopped speaking fr…
This commit is contained in:
@@ -24,6 +24,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Fixed
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- Fixed an issue that was generating constant bot started/stopped speaking
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frames for HTTP TTS services.
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- Fixed an issue that was causing stuttering with AWS TTS service.
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## [0.0.47] - 2024-10-22
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@@ -12,6 +12,11 @@ from pydantic.main import BaseModel
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from pipecat.audio.utils import calculate_audio_volume, exp_smoothing
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VAD_CONFIDENCE = 0.7
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VAD_START_SECS = 0.2
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VAD_STOP_SECS = 0.8
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VAD_MIN_VOLUME = 0.6
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class VADState(Enum):
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QUIET = 1
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@@ -21,10 +26,10 @@ class VADState(Enum):
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class VADParams(BaseModel):
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confidence: float = 0.7
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start_secs: float = 0.2
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stop_secs: float = 0.8
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min_volume: float = 0.6
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confidence: float = VAD_CONFIDENCE
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start_secs: float = VAD_START_SECS
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stop_secs: float = VAD_STOP_SECS
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min_volume: float = VAD_MIN_VOLUME
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class VADAnalyzer:
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@@ -41,13 +46,17 @@ class VADAnalyzer:
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self._prev_volume = 0
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@property
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def sample_rate(self):
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def sample_rate(self) -> int:
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return self._sample_rate
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@property
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def num_channels(self):
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def num_channels(self) -> int:
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return self._num_channels
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@property
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def params(self) -> VADParams:
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return self._params
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@abstractmethod
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def num_frames_required(self) -> int:
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pass
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@@ -13,6 +13,7 @@ from typing import List
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from loguru import logger
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from PIL import Image
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from pipecat.audio.vad.vad_analyzer import VAD_STOP_SECS
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from pipecat.frames.frames import (
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BotSpeakingFrame,
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BotStartedSpeakingFrame,
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@@ -70,9 +71,14 @@ class BaseOutputTransport(FrameProcessor):
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self._stopped_event = asyncio.Event()
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# Indicates if the bot is currently speaking. This is useful when we
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# have an interruption since all the queued messages will be thrown
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# away and we would lose the TTSStoppedFrame.
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# have an interruption since all the queued messages will be thrown away
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# and we would lose the TTSStoppedFrame. We also keep a scheduler handle
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# which is used to schedule pushing bot stopped speaking frames. With
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# some services (HTTP TTS services) we will get a bunch of
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# TTSStartedFrame and TTSStoppedFrame and we don't want to constantly
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# generate bot started/stopped speaking frames.
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self._bot_speaking = False
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self._bot_stopped_speaking_handle = None
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# Create sink frame task. This is the task that will actually write
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# audio or video frames. We write audio/video in a task so we can keep
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@@ -320,14 +326,40 @@ class BaseOutputTransport(FrameProcessor):
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logger.exception(f"{self} error processing sink clock queue: {e}")
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async def _bot_started_speaking(self):
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logger.debug("Bot started speaking")
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self._bot_speaking = True
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await self.push_frame(BotStartedSpeakingFrame(), FrameDirection.UPSTREAM)
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# If we scheduled bot stopped speaking, cancel it.
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if self._bot_stopped_speaking_handle:
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self._bot_stopped_speaking_handle.cancel()
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self._bot_stopped_speaking_handle = None
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if not self._bot_speaking:
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logger.debug("Bot started speaking")
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await self.push_frame(BotStartedSpeakingFrame(), FrameDirection.UPSTREAM)
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self._bot_speaking = True
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async def _bot_stopped_speaking(self):
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logger.debug("Bot stopped speaking")
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self._bot_speaking = False
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await self.push_frame(BotStoppedSpeakingFrame(), FrameDirection.UPSTREAM)
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async def push_bot_stopped_speaking_async():
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try:
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logger.debug("Bot stopped speaking")
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await self.push_frame(BotStoppedSpeakingFrame(), FrameDirection.UPSTREAM)
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self._bot_speaking = False
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except asyncio.CancelledError:
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logger.debug("We've been cancelled")
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pass
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def push_bot_stopped_speaking():
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self.get_event_loop().create_task(push_bot_stopped_speaking_async())
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# Schedule a bot stopped speaking to be pushed after VAD stop secs
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# (unless we get another bot started speaking).
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wait_time = (
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self._params.vad_analyzer.params.stop_secs
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if self._params.vad_analyzer
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else VAD_STOP_SECS
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)
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if not self._bot_stopped_speaking_handle:
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self._bot_stopped_speaking_handle = self.get_event_loop().call_later(
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wait_time, push_bot_stopped_speaking
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)
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#
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# Camera out
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