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IEMOCAP: interactive emotional dyadic motion capture database.

Authors :
Busso, Carlos
Bulut, Murtaza
Lee, Chi-Chun
Kazemzadeh, Abe
Mower, Emily
Kim, Samuel
Chang, Jeannette
Lee, Sungbok
Narayanan, Shrikanth
Source :
Language Resources & Evaluation; Dec2008, Vol. 42 Issue 4, p335-359, 25p, 5 Color Photographs, 2 Diagrams, 7 Charts, 3 Graphs
Publication Year :
2008

Abstract

Since emotions are expressed through a combination of verbal and non-verbal channels, a joint analysis of speech and gestures is required to understand expressive human communication. To facilitate such investigations, this paper describes a new corpus named the “interactive emotional dyadic motion capture database” (IEMOCAP), collected by the Speech Analysis and Interpretation Laboratory (SAIL) at the University of Southern California (USC). This database was recorded from ten actors in dyadic sessions with markers on the face, head, and hands, which provide detailed information about their facial expressions and hand movements during scripted and spontaneous spoken communication scenarios. The actors performed selected emotional scripts and also improvised hypothetical scenarios designed to elicit specific types of emotions (happiness, anger, sadness, frustration and neutral state). The corpus contains approximately 12 h of data. The detailed motion capture information, the interactive setting to elicit authentic emotions, and the size of the database make this corpus a valuable addition to the existing databases in the community for the study and modeling of multimodal and expressive human communication. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1574020X
Volume :
42
Issue :
4
Database :
Complementary Index
Journal :
Language Resources & Evaluation
Publication Type :
Academic Journal
Accession number :
36370838
Full Text :
https://doi.org/10.1007/s10579-008-9076-6