Browsing Department of Analytics and Informatics by Subject "feature extraction"
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Ensemble learning of hybrid acoustic features for speech emotion recognition
(MDPI, 2020-03)Automatic recognition of emotion is important for facilitating seamless interactivity between a human being and intelligent robot towards the full realization of a smart society. The methods of signal processing and ...