Invariance Des Spectres De Parole Par Analyse Des Correlations Canoniques.

Authors

  • K. Choukri
  • G. Ghollet
  • Y. Grenier

Abstract

Cet article décrit une technique d'adaptation d'un dictionnaire de formes de référence à de nouveaux locuteurs, dans le cadre d'un Système de Reconnaissance Automatique de la Parole (SRAP). Elle se base sur l'hypothèse d'une corrélation maximale entre les espaces spectraux du locuteur standard et du nouveau locuteur pour déterminer un espace commun où les spectres respectifs sont invariants. Une application à la reconnaissance des dix chiffres montre les améliorations qu'elle apporte.

Additional Files

Published

2022-12-03

How to Cite

1.
Choukri K, Ghollet G, Grenier Y. Invariance Des Spectres De Parole Par Analyse Des Correlations Canoniques. Canadian Acoustics [Internet]. 2022 Dec. 3 [cited 2024 Apr. 22];14(3 bis):80-1. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3530

Issue

Vol. 14 No. 3 bis (1986): Montreal Symposium On Speech Recognition

Section

Proceedings of the Acoustics Week in Canada

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