On the recognition of emotional vocal expressions: motivations for a holistic approach

Human beings seem to be able to recognize emotions from speech very well and information communication technology aims to implement machines and agents that can do the same. However, to be able to automatically recognize affective states from speech signals, it is necessary to solve two main technol...

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Bibliographic Details
Published inCognitive processing Vol. 13; no. Suppl 2; pp. 541 - 550
Main Authors Esposito, Anna, Esposito, Antonietta M.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 01.10.2012
Subjects
Algorithms
Artificial Intelligence
Behavioral Sciences
Biomedical and Life Sciences
Biomedicine
Emotions
Humans
Neurosciences
Review
Social Perception
Speech Acoustics
Speech Perception
Voice
Emotional vocal expressions
Computational models
Processing algorithms
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Summary:Human beings seem to be able to recognize emotions from speech very well and information communication technology aims to implement machines and agents that can do the same. However, to be able to automatically recognize affective states from speech signals, it is necessary to solve two main technological problems. The former concerns the identification of effective and efficient processing algorithms capable of capturing emotional acoustic features from speech sentences. The latter focuses on finding computational models able to classify, with an approximation as good as human listeners, a given set of emotional states. This paper will survey these topics and provide some insights for a holistic approach to the automatic analysis, recognition and synthesis of affective states.
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ISSN:1612-4782
1612-4790
DOI:10.1007/s10339-012-0516-2