Recognition is never perfect, not even with today’s amazing ASR. Nor is it so accurate that you can just ignore any utterances that fall off the happy path because of misrecognition or incorrect intent mapping. You’ve already learned about many of the reasons why recognition fails: not covering the words spoken by users or the way users pronounce words that are covered, interfering similar words, noisy background, and side ...
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