Comment by harles
1 day ago
This reply seems to miss the question, or at least doesn’t answer it clearly. Is this service overly tolerant of mispronunciations? Foundational models are becoming more tolerant, not less, over time which is the opposite of what I’d want in this case.
It's less tolerant of mispronunciations. There is custom promting to explicitly leave in mistakes and to not fix them. It's still not perfect and it (the speech to text module) sometimes corrects the user's pronunciation mistakes.