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Speech with various emotions aggravates the performance of speaker recognition system. The existing speaker modeling disregards the match of the emotional state between training and testing speech, and the systems suffer the lapsus of the emotion recognition as to practical application. We propose an alternative approach that exploits the prosodic difference to cluster affective speech, and then builds...
In this paper we present a facial expression recognition model using fuzzy techniques in order to further detect human behaviors in the e-business. In this model, fuzzy clustering model is proposed to classify images, after extract the features that are used as inputs into a classification system. The outcome of the model is one of the preselected emotion categories. The motivation for the model is...
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