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A Genetic Algorithm Feature Selection Approach to Robust Classification between "Positive" and "Negative" Emotional States in Speakers

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4 Author(s)
F. Beritelli ; Dipt. di Ingegneria Inf. e delle Telecomunicazioni, Catania Univ. ; S. Casale ; A. Russo ; S. Serrano

The aim of acquiring knowledge about the emotional state of a speaker is to improve the robustness of speech recognition systems, as the mechanisms producing speech vary in the presence of emotions, and also to improve the machine's perception of a speaker's emotional state so as to respond to his/her requests more appropriately. The paper proposes an approach based on genetic algorithms to determine a set of features that will allow robust classification of positive and negative emotional states. Starting from a vector of 414 features, a subset of features is obtained providing a good discrimination between positive and negative slates, while maintaining low computational complexity

Published in:

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.

Date of Conference:

Oct. 28 2005-Nov. 1 2005