Yeah recognising some words and having a hand crafted decision tree over an LLM can go a long way to get useful shit done.
Setting a timer, calling someone, turning on a light.
But is local CPU Speech to Text really a dead end?
Setting a timer, calling someone, turning on a light.
But is local CPU Speech to Text really a dead end?
Even in the voice-cloning TTS you have to deliberately spell things to be pronounced correctly.
so it comes down to "guessing the context" for a computer, which is something that LLMs can do fairly well, and raspberry pi can run small LLM, so who knows. Sentiment analysis is one thing, i'd probably mess with prompting an llm to "correct the grammar" and see what words change - or even "change words for synonyms that can't be misconstrued by the TTS engine, unless the tone of the phrase or passage changes dramatically, in which case, phonetically spell the word in question"
but i only think to do this because LLMs exist. if you had asked me 15 years ago how to automate "pronunciation" of english i'd have said "if IBM and AT&T and Apple can't figure it out..."