The other downside of this approach is that each satellite requires ongoing resources inside Home Assistant when it’s streaming audio. We compensate for poor audio quality with audio post-processing inside Home Assistant and users can use better speech-to-text models to improve accuracy like the one included with Home Assistant Cloud. A device with a single microphone and no post-processing? Not so much. A speakerphone with multiple microphones and audio processing chips captures voice very cleanly. The first is that the quality of the captured audio differs. To try it out, follow our updated tutorial to create your own $13 voice assistant. It also allows our developer community to easily experiment with new wake word models as they don’t have to first shrink it to be able to run on a low-powered voice satellite device. The advantage of this approach is that any device that streams audio can be turned into a voice satellite, even if it doesn’t have enough power to do wake word detection locally. When it detects voice, the satellite will send audio to Home Assistant where it will check if the wake word was said and handle the command that followed it. Voice satellite devices will constantly sample current audio in your room for voice. We didn’t want to limit ourselves to a single type of hardware, so we decided to change the approach: we do the wake word detection inside Home Assistant. Voice satellite hardware generally does not have a lot of computing power so wake word engines need hardware experts to optimise the models to run smoothly. You can’t have a voice assistant start listening 5 seconds after a wake word is spoken. They are based on AI, there is little room for false positives, and they need to run extremely fast: as fast audio as comes in. To watch the video presentation of this blog post, including live demos, check the recording of our live stream. To try wake words today, follow our updated guide to the $13 voice assistant. This project has real-world accuracy, runs on commodity hardware and anyone can train a basic model of their own wake word in an hour, for free. Home Assistant’s wake words are leveraging a new project called openWakeWord by David Scripka. Examples are: Hey Google, Hey Siri or Alexa. Wake words are special words or phrases that tell a voice assistant that a command is about to be spoken. Lastly in Chapter 3, we added the ability to set Home Assistant as your default assistant on Android phones and watches.įor Chapter 4, we’ve now added wake word processing inside Home Assistant. This included local options for maximum privacy as well as support for Home Assistant Cloud for incredible speed and language coverage. We now support 56 languages and have 188 contributors helping to translate common smart home commands for everyone.Ĭhapter 2 introduced audio for voice commands: both speech-to-text and text-to-speech. In Chapter 1, we started with text commands such as “turn on the kitchen light” and “open garage door”. We’ve got great news: wake words are finally here! After 4 chapters, we now have the final building block for voice in Home Assistant. It is our goal for 2023 to let users control Home Assistant by speaking in their own language. This year is Home Assistant’s Year of the Voice.
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