Hossein Khaki

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In the nature of human-to-human communication, gesture and speech co-exist in time with a tight synchrony. We tend to use gestures to complement or to emphasize speech. In this study we present the JESTKOD database, which will be a valuable asset to examine gesture and speech in defining more natural human-computer interaction systems. This JESTKOD database(More)
In human-to-human communication gesture and speech co-exist in time with a tight synchrony, where we tend to use gestures to complement or to emphasize speech. In this study, we investigate roles of vocal and gestural cues to identify a dyadic interaction as agreement and disagreement. In this investigation we use the JESTKOD database, which consists of(More)
Natural and affective handshakes of two participants define the course of dyadic interaction. Affective states of the participants are expected to be correlated with the nature or type of the dyadic interaction. In this study, we investigate relationship between affective attributes and nature of dyadic interaction. In this investigation we use the JESTKOD(More)
In large population Speaker Identification (SI), computation time has become one of the most important issues in recent real time systems. Test computation time depends on the cost of likelihood computation between test features and registered speaker models. For real time application of speaker identification, system must identify an unknown speaker(More)
Natural and affective handshakes of two participants define the course of dyadic interaction. Affective states of the participants are expected to be correlated with the nature of the dyadic interaction. In this paper, we extract two classes of the dyadic interaction based on temporal clustering of affective states. We use the k-means temporal clustering to(More)
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