Speech Recognition Is Not Solved
Read OriginalThis 2017 article challenges claims of human-level speech recognition, arguing that despite deep learning advances, significant gaps remain. It details failure modes like handling diverse accents and background noise, and the difference between word error rate and semantic error rate, using the Switchboard benchmark to illustrate limitations.
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