Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
410814 | Neurocomputing | 2007 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zouhour Neji Ben Salem, Laurent Boougrain, Frédéric Alexandre,