• DocumentCode
    3735623
  • Title

    On multimodality in the perception of emotions from materials of the HuComTech corpus

  • Author

    Laszlo Hunyadi

  • Author_Institution
    University of Debrecen, Dept. of General and Applied Linguistics
  • fYear
    2015
  • Firstpage
    489
  • Lastpage
    492
  • Abstract
    Emotions are important constituents of human behavior. The production and perception of cues of emotions is a complex task involving both verbal and nonverbal aspects of behavior. This complexity is further enhanced by the fact that emotions are subject to interpretation; a resulting emotion cannot be compositionally derived from its constituent building blocks. Even though we commonly associate an emotion with a given modality (most often with visuality), it will be argued that emotions are essentially multimodal. Multimodality in turn involves both the temporal alignment and sequential organization of cues across a number of modalities with virtually no primary modality of expression. These assumptions will be tested and elaborated using the extensively annotated multimodal HuComTech corpus by considering the frequency, alignment and sequence of the annotations of the basic emotions across three perception conditions: video only, audio only and video+audio.
  • Keywords
    "Speech","Robustness","Visualization","Emotion recognition","Pragmatics","Production","Timing"
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2015.7390642
  • Filename
    7390642