Acoustic Markov models used in the Tangora speech recognition system
作者： L.R. Bahl , P.F. Brown , P.V. de Souza , M.A. Picheny
DOI: 10.1109/ICASSP.1988.196628
关键词:
摘要: The Speech Recognition Group at IBM Research has developed a real-time, isolated-word speech recognizer called Tangora, which accepts natural English sentences drawn from vocabulary of 20000 words. Despite its large vocabulary, the Tangora requires only about 20 minutes each new user for training purposes. accuracy system and ease are largely attributable to use hidden Markov models in acoustic match component. An automatic technique constructing word is described results included experiments with speaker-dependent speaker-independent on several recognition tasks. >
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sci-hub.se 参考文章(18)
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