Invariance Des Spectres De Parole Par Analyse Des Correlations Canoniques.

Auteurs-es

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

Résumé

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.

Fichiers supplémentaires

Publié-e

2022-12-03

Comment citer

1.
Choukri K, Ghollet G, Grenier Y. Invariance Des Spectres De Parole Par Analyse Des Correlations Canoniques. Canadian Acoustics [Internet]. 3 déc. 2022 [cité 21 sept. 2024];14(3 bis):80-1. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3530

Numéro

Vol. 14 No. 3 bis (1986): Symposium sur la reconnaissance de la parole

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

Licence

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