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Non-linear dynamics characterization fromwavelet packet transform for automatic recognition of emotional speech


Publication Details
Author(s): Vásquez-Correa J, Orozco-Arroyave JR, Arias-Londoño JD, Vargas-Bonilla JF, Nöth E
Publisher: Springer Science and Business Media Deutschland GmbH
Publication year: 2016
Volume: 48
Pages range: 199-207

Abstract

A new set of features based on non-linear dynamics measures obtained from the wavelet packet transform for the automatic recognition of “fear-type” emotions in speech is proposed. The experiments are carried out using three different databases with a Gaussian MixtureModel for classification. The results indicate that the proposed approach is promising for modeling “fear-type” emotions in speech.



How to cite
APA: Vásquez-Correa, J., Orozco-Arroyave, J.R., Arias-Londoño, J.D., Vargas-Bonilla, J.F., & Nöth, E. (2016). Non-linear dynamics characterization fromwavelet packet transform for automatic recognition of emotional speech. Springer Science and Business Media Deutschland GmbH.

MLA: Vásquez-Correa, J., et al. Non-linear dynamics characterization fromwavelet packet transform for automatic recognition of emotional speech. Springer Science and Business Media Deutschland GmbH, 2016.

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