Researchers at Carnegie Mellon University, IBM, and Dragon Systems successfully shifted automatic speech recognition (ASR) away from grammatical rule-matching toward statistical Hidden Markov Models (HMMs). By treating speech as a probabilistic sequence of acoustic signals, systems like DragonDictate (1990) achieved the first viable commercial dictation accuracy, transforming natural language processing.
Part of the 30 AI Roots Facts: The Dawn of Internet & Statistical Foundations (1990–1995) archive. HistoricallyVerified
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