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Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech Recognition

Zouhour Neji Ben Salem 1 Laurent Bougrain 2 Frédéric Alexandre 2
2 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 spatiotemporal biologically inspired methods for the preprocessing and learning of speech signal based on SOM (Self Organization Map). The experimental results are very encouraging and provide a framework which could be more studied to overcome present limitation of speech perception and recognition technology.
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https://hal.inria.fr/inria-00118122
Contributor : Laurent Bougrain <>
Submitted on : Monday, December 4, 2006 - 11:53:17 AM
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 and Complex-Valued Models based on SOM map applied to Speech Recognition. Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India. ⟨inria-00118122⟩

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