Speech recognition: Current status and prospects

Authors

  • Deng Li Univ of Waterloo, Waterloo, Canada

Keywords:

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

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.

Additional Files

Published

1998-12-01

How to Cite

1.
Li D. Speech recognition: Current status and prospects. Canadian Acoustics [Internet]. 1998 Dec. 1 [cited 2024 Jul. 21];26(4):24-5. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1181

Issue

Section

Proceedings of the Acoustics Week in Canada