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2010
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Use of Line Spectral Frequencies for Emotion Recognition from Speech

10 years 9 months ago
Use of Line Spectral Frequencies for Emotion Recognition from Speech
We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the best of our knowledge. Spectral features such as mel-scaled cepstral coefficients have already been successfully used for the parameterization of speech signals for emotion recognition. The LSF features also offer a spectral representation for speech, moreover they carry intrinsic information on the formant structure as well, which are related to the emotional state of the speaker [4]. We use the Gaussian mixture model (GMM) classifier architecture, that captures the static color of the spectral features. Experimental studies performed over the Berlin Emotional Speech Database and the FAU Aibo Emotion Corpus demonstrate that decision fusion configurations with LSF features bring a consistent improvement over the MFCC based emotion classification rates.
Elif Bozkurt, Engin Erzin, Çigdem Eroglu Er
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICPR
Authors Elif Bozkurt, Engin Erzin, Çigdem Eroglu Erdem, A. Tanju Erdem
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