Laughter detection based on the fusion of local binary patterns, spectral and prosodic features

Abstract

Today, great focus has been placed on context-aware human-machine interaction, where systems are aware not only of the surrounding environment, but also about the mental/affective state of the user. Such knowledge can allow for the interaction to become more human-like. To this end, automatic discrimination between laughter and speech has emerged as an… (More)
DOI: 10.1109/MMSP.2016.7813391

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