Spatio-temporal biologically inspired models for clean and noisy speech recognition - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Neurocomputing Année : 2007

Spatio-temporal biologically inspired models for clean and noisy speech recognition

Zouhour Neji Ben Salem
  • Fonction : Auteur
Laurent Bougrain
Frédéric Alexandre

Résumé

Speech perception and recognition using biologically inspired models is a challenging issue not well explored yet. The paper presents two spatio-temporal biologically inspired methods for the preprocessing and learning of speech signal based on self-organization map (SOM). The experimental results are very encouraging and provide a framework that could be more studied to enhance speech perception and recognition technology.

Dates et versions

inria-00186512 , version 1 (09-11-2007)

Identifiants

Citer

Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre. Spatio-temporal biologically inspired models for clean and noisy speech recognition. Neurocomputing, 2007, 71 (1-3), pp.131--136. ⟨10.1016/j.neucom.2007.08.009⟩. ⟨inria-00186512⟩
164 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More