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Spatio-temporal biologically inspired models for clean and noisy speech recognition
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.
https://hal.inria.fr/inria-00186512
Contributor : Laurent Bougrain Connect in order to contact the contributor
Submitted on : Friday, November 9, 2007 - 2:48:13 PM
Last modification on : Friday, February 4, 2022 - 3:15:46 AM
Contributor : Laurent Bougrain Connect in order to contact the contributor
Submitted on : Friday, November 9, 2007 - 2:48:13 PM
Last modification on : Friday, February 4, 2022 - 3:15:46 AM
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