Journal
LANGUAGE RESOURCES AND EVALUATION
Volume 42, Issue 4, Pages 335-359Publisher
SPRINGER
DOI: 10.1007/s10579-008-9076-6
Keywords
Audio-visual database; Dyadic interaction; Emotion; Emotional assessment; Motion capture system
Funding
- National Science Foundation (NSF)
- NSF Engineering Research Center [EEC-9529152]
- Department of the Army
- Office of Naval Research
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [0757414] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [0803565] Funding Source: National Science Foundation
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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.
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