278 lines
11 KiB
Python
278 lines
11 KiB
Python
import queue
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import threading
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from abc import ABC, abstractmethod
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from typing import Optional, Union, List
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import sounddevice as sd
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from platypush.context import get_bus
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from platypush.message.event.stt import SpeechDetectionStartedEvent, SpeechDetectionStoppedEvent, SpeechStartedEvent, \
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SpeechDetectedEvent, HotwordDetectedEvent, ConversationDetectedEvent
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from platypush.message.response.stt import SpeechDetectedResponse
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from platypush.plugins import Plugin, action
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class SttPlugin(ABC, Plugin):
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"""
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Abstract class for speech-to-text plugins.
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Triggers:
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* :class:`platypush.message.event.stt.SpeechStartedEvent` when speech starts being detected.
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* :class:`platypush.message.event.stt.SpeechDetectedEvent` when speech is detected.
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* :class:`platypush.message.event.stt.SpeechDetectionStartedEvent` when speech detection starts.
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* :class:`platypush.message.event.stt.SpeechDetectionStoppedEvent` when speech detection stops.
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* :class:`platypush.message.event.stt.HotwordDetectedEvent` when a user-defined hotword is detected.
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* :class:`platypush.message.event.stt.ConversationDetectedEvent` when speech is detected after a hotword.
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"""
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_thread_stop_timeout = 10.0
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rate = 16000
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channels = 1
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def __init__(self,
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input_device: Optional[Union[int, str]] = None,
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hotword: Optional[str] = None,
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hotwords: Optional[List[str]] = None,
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conversation_timeout: Optional[float] = None,
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block_duration: float = 1.0):
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"""
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:param input_device: PortAudio device index or name that will be used for recording speech (default: default
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system audio input device).
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:param hotword: When this word is detected, the plugin will trigger a
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:class:`platypush.message.event.stt.HotwordDetectedEvent` instead of a
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:class:`platypush.message.event.stt.SpeechDetectedEvent` event. You can use these events for hooking other
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assistants.
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:param hotwords: Use a list of hotwords instead of a single one.
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:param conversation_timeout: If ``hotword`` or ``hotwords`` are set and ``conversation_timeout`` is set,
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the next speech detected event will trigger a :class:`platypush.message.event.stt.ConversationDetectedEvent`
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instead of a :class:`platypush.message.event.stt.SpeechDetectedEvent` event. You can hook custom hooks
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here to run any logic depending on the detected speech - it can emulate a kind of
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"OK, Google. Turn on the lights" interaction without using an external assistant.
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:param block_duration: Duration of the acquired audio blocks (default: 1 second).
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"""
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super().__init__()
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self.input_device = input_device
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self.conversation_timeout = conversation_timeout
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self.block_duration = block_duration
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self.hotwords = set(hotwords or [])
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if hotword:
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self.hotwords = {hotword}
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self._conversation_event = threading.Event()
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self._input_stream: Optional[sd.InputStream] = None
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self._recording_thread: Optional[threading.Thread] = None
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self._detection_thread: Optional[threading.Thread] = None
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self._audio_queue: Optional[queue.Queue] = None
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def _get_input_device(self, device: Optional[Union[int, str]] = None) -> int:
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"""
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Get the index of the input device by index or name.
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:param device: Device index or name. If None is set then the function will return the index of the
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default audio input device.
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:return: Index of the audio input device.
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"""
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if not device:
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device = self.input_device
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if not device:
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return sd.query_hostapis()[0].get('default_input_device')
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if isinstance(device, int):
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assert device <= len(sd.query_devices())
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return device
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for i, dev in enumerate(sd.query_devices()):
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if dev['name'] == device:
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return i
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raise AssertionError('Device {} not found'.format(device))
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def on_speech_detected(self, speech: str) -> None:
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"""
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Hook called when speech is detected. Triggers the right event depending on the current context.
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:param speech: Detected speech.
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"""
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speech = speech.strip()
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if self._conversation_event.is_set():
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event = ConversationDetectedEvent(speech=speech)
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elif speech in self.hotwords:
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event = HotwordDetectedEvent(hotword=speech)
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if self.conversation_timeout:
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self._conversation_event.set()
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threading.Timer(self.conversation_timeout, lambda: self._conversation_event.clear()).start()
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else:
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event = SpeechDetectedEvent(speech=speech)
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get_bus().post(event)
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@staticmethod
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def convert_frames(frames: bytes) -> bytes:
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"""
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Conversion method for raw audio frames. It just returns the input frames as bytes. Override it if required
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by your logic.
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:param frames: Input audio frames, as bytes.
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:return: The audio frames as passed on the input. Override if required.
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"""
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return frames
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def on_detection_started(self):
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"""
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Method called when the ``detection_thread`` starts. Initialize your context variables and models here if
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required.
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"""
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pass
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def on_detection_ended(self):
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"""
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Method called when the ``detection_thread`` stops. Clean up your context variables and models here.
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"""
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pass
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@abstractmethod
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def detect_audio(self, frames) -> str:
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"""
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Method called within the ``detection_thread`` when new audio frames have been captured. Must be implemented
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by the derived classes.
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:param frames: Audio frames, as returned by ``convert_frames``.
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:return: Detected text, as a string.
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"""
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raise NotImplementedError
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def detection_thread(self) -> None:
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"""
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This thread reads frames from ``_audio_queue``, performs the speech-to-text detection and calls
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"""
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current_text = ''
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self.logger.debug('Detection thread started')
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self.on_detection_started()
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while self._audio_queue:
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try:
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frames = self._audio_queue.get()
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frames = self.convert_frames(frames)
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except Exception as e:
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self.logger.warning('Error while feeding audio to the model: {}'.format(str(e)))
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continue
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text = self.detect_audio(frames)
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if text == current_text:
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if current_text:
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self.on_speech_detected(current_text)
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current_text = ''
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else:
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if not current_text:
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get_bus().post(SpeechStartedEvent())
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self.logger.info('Intermediate speech results: [{}]'.format(text))
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current_text = text
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self.on_detection_ended()
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self.logger.debug('Detection thread terminated')
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def recording_thread(self, block_duration: float, input_device: Optional[str] = None) -> None:
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"""
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Recording thread. It reads raw frames from the audio device and dispatches them to ``detection_thread``.
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:param block_duration: Audio blocks duration.
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:param input_device: Input device
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"""
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self.logger.debug('Recording thread started')
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device = self._get_input_device(input_device)
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blocksize = int(self.rate * self.channels * block_duration)
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self._input_stream = sd.InputStream(samplerate=self.rate, device=device,
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channels=self.channels, dtype='int16', latency=0,
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blocksize=blocksize)
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self._input_stream.start()
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get_bus().post(SpeechDetectionStartedEvent())
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while self._input_stream:
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try:
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frames = self._input_stream.read(self.rate)[0]
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except Exception as e:
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self.logger.warning('Error while reading from the audio input: {}'.format(str(e)))
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continue
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self._audio_queue.put(frames)
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get_bus().post(SpeechDetectionStoppedEvent())
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self.logger.debug('Recording thread terminated')
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@abstractmethod
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@action
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def detect(self, audio_file: str) -> SpeechDetectedResponse:
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"""
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Perform speech-to-text analysis on an audio file. Must be implemented by the derived classes.
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:param audio_file: Path to the audio file.
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"""
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raise NotImplementedError
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def __enter__(self):
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"""
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Context manager enter. Starts detection and returns self.
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"""
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self.start_detection()
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return self
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def __exit__(self, exc_type, exc_val, exc_tb):
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"""
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Context manager exit. Stops detection.
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"""
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self.stop_detection()
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@action
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def start_detection(self, input_device: Optional[str] = None, seconds: Optional[float] = None,
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block_duration: Optional[float] = None) -> None:
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"""
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Start the speech detection engine.
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:param input_device: Audio input device name/index override
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:param seconds: If set, then the detection engine will stop after this many seconds, otherwise it'll
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start running until ``stop_detection`` is called or application stop.
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:param block_duration: ``block_duration`` override.
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"""
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assert not self._input_stream and not self._recording_thread, 'Speech detection is already running'
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block_duration = block_duration or self.block_duration
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input_device = input_device if input_device is not None else self.input_device
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self._audio_queue = queue.Queue()
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self._recording_thread = threading.Thread(
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target=lambda: self.recording_thread(block_duration=block_duration, input_device=input_device))
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self._recording_thread.start()
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self._detection_thread = threading.Thread(target=lambda: self.detection_thread())
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self._detection_thread.start()
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if seconds:
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threading.Timer(seconds, lambda: self.stop_detection()).start()
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@action
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def stop_detection(self) -> None:
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"""
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Stop the speech detection engine.
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"""
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assert self._input_stream, 'Speech detection is not running'
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self._input_stream.stop(ignore_errors=True)
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self._input_stream.close(ignore_errors=True)
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self._input_stream = None
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if self._recording_thread:
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self._recording_thread.join(timeout=self._thread_stop_timeout)
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self._recording_thread = None
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self._audio_queue = None
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if self._detection_thread:
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self._detection_thread.join(timeout=self._thread_stop_timeout)
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self._detection_thread = None
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# vim:sw=4:ts=4:et:
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