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

Zouhour Neji Ben Salem Laurent Bougrain 1 Frédéric Alexandre 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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.
Keywords : Biologically inspired models Spatio-temporal processing Speech recognition
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https://hal.inria.fr/inria-00186512
Contributor : Laurent Bougrain <>
Submitted on : Friday, November 9, 2007 - 2:48:13 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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

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