Abstract
People use their voices to communicate not only verbally but also emotionally. This article presents theories and methodologies that concern emotional vocalizations at the intersection of psychology and digital signal processing. Specifically, it demonstrates the encoding (production) and decoding (recognition) of emotional sounds, including the review and comparison of strategies in database design, parameterization, and classification. Whereas psychology predominantly focuses on the subjective recognition of emotional vocalizations, digital signal processing relies on automated and thus more objective vocal affect measures. The article aims to compare these two approaches and suggest methods of combining them to achieve a more complex insight into the vocal communication of emotions.
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