this post was submitted on 07 Sep 2023
24 points (90.0% liked)

homeassistant

11813 readers
1 users here now

Home Assistant is open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Available for free at home-assistant.io

founded 1 year ago
MODERATORS
 

While I eagerly await a built in wake word function, I decided to see what other options are out there and started looking into open source hotword detection projects, and found snowboy. Combining a snowboy plugin with tasker and an android tablet connected all the dots to run local wake word detection that drops seamlessly into the assist service.

The only downside is that recognition for custom phrases is fairly limited (custom wake words are based on only 3 audio samples from the intended speaker), though it seems possible to use them, maybe even to setup different access per speaker, but I haven't gone down that path yet.

Thankfully there is a small selection of "universal" built in wake words including:

Hey/Ok Google

Alexa

Jarvis

Computer

Snowboy

Smart Mirror

and a few other oddball ones that can be found here: https://github.com/Kitt-AI/snowboy/tree/master/resources/models

In short, using any android device (an old phone or tablet), install "Tasker" and "HotwordPlugin" which uses snowboy for the local wake word detection. Assuming you have the assist pipeline setup already and the home assistant app installed, have Tasker call the HA apps assist service whenever HotworkPlugin detects the wake word and triggers the routine. Set it to launch a new assist service with every trigger so it will take consecutive commands.

Depending on how the wake word functionality is implemented in HA eventually this may be just a temporary solution, but it's working well enough for the moment.

Tasker: https://play.google.com/store/apps/details?id=net.dinglisch.android.taskerm (It's a paid app, but well worth it considering what you get for $3.50)

HotwordPlugin: https://play.google.com/store/apps/details?id=nl.jolanrensen.hotwordPlugin (there is an ad supported free version as well)

Snowboy: https://github.com/seasalt-ai/snowboy

all 5 comments
sorted by: hot top controversial new old
[–] [email protected] 3 points 1 year ago* (last edited 1 year ago) (1 children)

I was using snowboy for a bit but recently switched to PicoVoice Porcupine and it’s been really good. You’re even able to train a custom wakeword etc. For relatively low usage it might be worth checking out. EDIT: ahh forgive me if this is not home-assistant compatible but it might be

[–] [email protected] 0 points 1 year ago (2 children)

Interesting, can I ask a couple questions about that setup? How did you go about connecting all the pieces? Is it all handled locally? What hardware are you running it on? Do you have any good resources/tutorials you followed?

[–] [email protected] 1 points 1 year ago

Sure, I ended up taking apart the PicoVoice GitHub demo Python for Porcupine to integrate it into a chatGPT-powered chatbot. It’s also using google speechToText and textToSpeech, so a fair bit of cloud stuff. But surprisingly the latency is pretty low. I’m running it on a small form factor Debian Linux box from MeLE. I was trying to run it all on a Pi4B but it didn’t have the GPU I needed for the front end. The chatbot and Python side all ran ok albeit slower, but I abandoned the Pi. This is the example project I drew inspiration from: https://github.com/atxguitarist/BassGPT/blob/main/BassGPT.py

[–] [email protected] -5 points 1 year ago

If you're disappointed with progress of an open source project, open up your IDE and code away.