Wake word detection entity
A wake word detection entity allows other integrations or applications to detect wake words (also called hotwords) in an audio stream.
A wake word detection entity is derived from the  homeassistant.components.wake_word.WakeWordDetectionEntity.
Properties
Properties should always only return information from memory and not do I/O (like network requests).
| Name | Type | Default | Description | 
|---|---|---|---|
| supported_wake_words | list[WakeWord] | Required | The supported wake words of the service with: 
 | 
Methods
Process audio stream
The process audio stream method is used to detect wake words. It must return a DetectionResult or None if the audio stream ends without a detection.
class MyWakeWordDetectionEntity(WakeWordDetectionEntity):
    """Represent a Wake Word Detection entity."""
    async def async_process_audio_stream(
        self, stream: AsyncIterable[tuple[bytes, int]]
    ) -> DetectionResult | None:
        """Try to detect wake word(s) in an audio stream with timestamps.
        Audio must be 16Khz sample rate with 16-bit mono PCM samples.
        """
The audio stream is made of tuples with the form (timestamp, audio_chunk) where:
- timestampis the number of milliseconds since the start of the audio stream
- audio_chunkis a chunk of 16-bit signed mono PCM samples at 16Khz
If a wake word is detected, a DetectionResult is returned with:
- ww_id- the unique identifier of the detected wake word
- timestamp- the timestamp of the audio chunk when detection occurred
- queued_audio- optional audio chunks that will be forwarded to speech-to-text (see below)
In an Assist pipeline, the audio stream is shared between wake word detection and speech-to-text. This means that any audio chunk removed during wake word detection can not be processed by speech-to-text unless passed back in the queued_audio of a DetectionResult.