Better analysis for automatic speech recognition

Auteurs-es

  • Douglas O'Shaughnessy INRS-Telecommunications, EMT, University of Quebec, 800 de la Gauchetiere west, Montreal, Que., H5A 1K6, Canada

Mots-clés :

Acoustics, Fast Fourier transforms, Matrix algebra, Microphones, Automatic speech recognition (ASR)

Résumé

An efficient automatic speech recognition (ASR) analysis method was studied. An ideal robust ASR should decode speech from all speakers of a language and with different microphones and transmission channels. Various advantages of this method are: it is an automatic and effcient method; actual ASR results that appear to be better than with some other methods extensively examined in the past like basic linear predictive coding (LPC) or a filter bank.

Fichiers supplémentaires

Publié-e

2002-09-01

Comment citer

1.
O’Shaughnessy D. Better analysis for automatic speech recognition. Canadian Acoustics [Internet]. 1 sept. 2002 [cité 28 nov. 2024];30(3):148-9. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1498

Numéro

Vol. 30 No. 3 (2002)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

Licence

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