Emotion recognition in audio records

A novel approach to find the combination of acoustic features producing a more robust automatic recognition of a speaker emotion is proposed. Four discrete emotional states are classified. The emotional speech corpora used for training and evaluation are described in detail. The emotion recognition...

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Bibliographische Detailangaben
Hauptverfasser:	Pavaloi, Ioan, Musca, Elena, Rotaru, Florin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Context Emotion recognition Speech Speech recognition Support vector machine classification Training
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Beschreibung
Zusammenfassung:	A novel approach to find the combination of acoustic features producing a more robust automatic recognition of a speaker emotion is proposed. Four discrete emotional states are classified. The emotional speech corpora used for training and evaluation are described in detail. The emotion recognition model using acoustic features is presented. The results achieved are presented and discussed.
DOI:	10.1109/ISSCS.2013.6651236