IEMOCAP: interactive emotional dyadic motion capture database.

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...

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Published in:Language Resources & Evaluation Vol. 42; no. 4; pp. 335 - 360
Main Authors: Busso, Carlos, Bulut, Murtaza, Lee, Chi-Chun, Kazemzadeh, Abe, Mower, Emily, Kim, Samuel, Chang, Jeannette, Lee, Sungbok, Narayanan, Shrikanth
Format: Article
Published: Springer Nature Dec2008
Subjects:
Online Access:View this record in EBSCOhost
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          Busso, Carlos
          Bulut, Murtaza
          Lee, Chi-Chun
          Kazemzadeh, Abe
          Mower, Emily
          Kim, Samuel
          Chang, Jeannette
          Lee, Sungbok
          Narayanan, Shrikanth
        affil: Speech Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles 90089 USA
      su:
        Communication education
        Nonverbal communication
        Oral communication
        Gesture
        Speech
        Language & languages
      sug:
        subj:
          Communication education
          Nonverbal communication
          Oral communication
          Gesture
          Speech
          Language & languages
      keyword:
        Audio-visual database
        Dyadic interaction
        Emotion
        Emotional assessment
        Motion capture system
      ab: 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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    language: English
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