Speech recognition: Current status and prospects

Deng Li

Abstract


A critical review of the state-of-the-art automatic speech recognition is provided which include: analyzing the fundamental equation of statistical speech recognition; fundamental architecture of the modern speech recognition systems dissected into their common, basic phonetic and phonological components; and critical review of the backbone of modern speech recognition technology, hidden Markov method (HMM). A number of key research issues which are aiming to overcome several fundamental deficiencies in the current speech recognition technology are addressed. An approach is outlined in which a version of nonlinear phonology are constructed from multidimensional features overlapping in time.

Keywords


Markov processes; Speech analysis; Statistical methods; Hidden Markov method (HMM); Nonlinear phonology

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