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http://dx.doi.org/10.5909/JBE.2013.18.5.771

Analysis of Voice Quality Features and Their Contribution to Emotion Recognition  

Lee, Jung-In (Yonsei University)
Choi, Jeung-Yoon (Yonsei University)
Kang, Hong-Goo (Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.18, no.5, 2013 , pp. 771-774 More about this Journal
Abstract
This study investigates the relationship between voice quality measurements and emotional states, in addition to conventional prosodic and cepstral features. Open quotient, harmonics-to-noise ratio, spectral tilt, spectral sharpness, and band energy were analyzed as voice quality features, and prosodic features related to fundamental frequency and energy are also examined. ANOVA tests and Sequential Forward Selection are used to evaluate significance and verify performance. Classification experiments show that using the proposed features increases overall accuracy, and in particular, errors between happy and angry decrease. Results also show that adding voice quality features to conventional cepstral features leads to increase in performance.
Keywords
Emotion recognition; voice quality features;
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