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
Link To Document :
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