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Classification of emotional content of sighs in dyadic human interactions
Conference paper

Classification of emotional content of sighs in dyadic human interactions

Rahul Gupta, Chi-Chun Lee and Shrikanth Narayanan
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp.2265-2268
2012

Abstract

multimodal fusion Nonverbal vocalizations support vector machine
Emotions are an important part of human communication and are expressed both verbally and non-verbally. Common nonverbal vocalizations such as laughter, cries and sighs carry important emotional content in conversations. Sighs often are associated with negative emotion. In this work, we show that emotional sighs exist along both ends of the valence axis (positive-emotion vs. negative-emotion sighs) in spontaneous affective dialogs and that they have certain distinct multimodal characteristics. Classification results show that it is possible to differentiate between the two types of emotionally valenced sighs, using a combination of acoustic and gestural features with an overall unweighted accuracy of 58.26%. © 2012 IEEE.

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