Speech recognition: Current status and prospects

Auteurs-es

  • Deng Li Univ of Waterloo, Waterloo, Canada

Mots-clés :

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

Résumé

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.

Fichiers supplémentaires

Publié-e

1998-12-01

Comment citer

1.
Li D. Speech recognition: Current status and prospects. Canadian Acoustics [Internet]. 1 déc. 1998 [cité 15 juill. 2026];26(4):24-5. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1181

Numéro

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique