Feature extraction of speech signals in emotion identification

Author

Morales-Perez, M. ; Echeverry-Correa, J. ; Orozco-Gutierrez, A. ; Castellanos-Dominguez, G.

Author_Institution

Faculty of Electrical, Electronic, Physics and Systems Engineering, Universidad TecnolÃ³gica de Pereira, La Julita, Pereira, Colombia

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

2590

Lastpage

2593

Abstract

In this work, the acoustic and spectral characteristics and the automatic recognition of human emotional states through speech analysis have been studied. Acoustic features have been evaluated and features from time-frequency representation are proposed. The method is based in the representation of speech signal through energy distributions (Gabor transform and WVD) and discrete coefficients (DWT and linear prediction analysis). Recognition accuracy of 94.6% for emotion detection are obtained from SES database of emotional speech in spanish language.

Keywords

Automatic speech recognition; Character recognition; Discrete transforms; Discrete wavelet transforms; Emotion recognition; Feature extraction; Humans; Signal processing; Speech analysis; Time frequency analysis; Emotions; Fourier Analysis; Humans; Language; Models, Statistical; Models, Theoretical; Reproducibility of Results; Signal Processing, Computer-Assisted; Speech; Speech Acoustics; Speech Intelligibility; Speech Perception; Speech Production Measurement; Verbal Behavior;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649730

Filename

4649730