This is definitely feasible, it'll depend on how much you are happy to go for tools like those mentioned here or if you want to roll your own (which I expect wo

This is definitely feasible, it'll depend on how much you are happy to go for tools like those mentioned here or if you want to roll your own (which I expect would be enjoyable but much slower) If your roll your own, you'll probably still want to reuse existing components for wake words, ASR and TTS, simply training them for your specific needs. One tip: aim for higher than that 80% target - the sentence you mention that in had 16 words, so you'd expect 3.2 errors if you read that, which will quickly get annoying (it could throw your intent recognition off completely). If you've got the ability to restrict it to a narrow vocab then you can train a language model just with the minimal words needed and that should help the word error rate dramatically.