this post was submitted on 23 Jul 2025
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I don't use a HA so not familiar with the details of what's out there, but where are you having the problems? Is voice recognition fine and the model just isn't always following the directions precisely? If not, what are you using, whisper or something else? (I'm in search myself of a better voice to text that's local). Certainly by now there are local models fine tuned for being HA, which would work better than a general purpose that could drift or misunderstand common commands.
The issue is mainly voice recognition. Even if I pronounce stuff clear it thinks I've said something else.
Using whisper in HA.
That's not going to be fixed with a different LLM model though. I'm experiencing similar problems. If my stt is bad then, then the LLM just gets even more confused or requires a big model that doesnt run efficiently on my local GPU. won't trigger my custom automations because the tools don't consider custom automations phrases.
Speech2phrase improves accuracy for utterances that are basic like turn on X, or anything specified in an automation, but then struggles for other speech.
My next project is to implement a router that forwards the utterance to both speech2phrase and whisper and try to estimate which is correct.
I was not aware of other alternatives to whisper. I will check them out.