A local time Fukunage-Koontz transformation for speech emotional recognition

Authors:
Zhao Yan;Wang Hai-xian;Zhao Li
Affiliations:
Southeast University, Nanjing, China;Southeast University, Nanjing, China;Southeast University, Nanjing, China
Venue:
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Year:
2008

Citing 3
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IEEE Transactions on Visualization and Computer Graphics

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Abstract

Dimension reduction is widely used in the domains of speech emotional recognition. Considering the underlying time structure of speech signals, we propose a local time Fukunage-koontz transformation (LTFKT) to contain more discriminative information during emotional recognition. The goal of LTFKT is to maximize/ minimize the eigenvalues of covariance in different classes simultaneously. It can be seen that FKT is a special case of LTFKT from analysis. The results show that the method in this paper can improve recognition rate effectively.