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Speech processing is an important element of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, numerical representations of emotions in a multi-dimensional space can be more appropriate to reflect the gradient nature of emotion expressions, and can be more convenient in the sense of dealing with a small set of emotion...
This paper examines the importance of different groups of speech acoustic features in the estimation of emotional primitives which define a three-dimensional continuous model of emotions. A set of proposed features is extracted from a database of German spontaneous emotional speech. This features set tries to represent several aspects of emotional content in speech that have been discussed separately...
The definition of parameters is a crucial step in the development of a system for identifying emotions in speech. Although there is no agreement on which are the best features for this task, it is generally accepted that prosody carries most of the emotional information. Most works in the field use some kind of prosodic features, often in combination with spectral and voice quality parametrizations...
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