Title :
Emotion recognition in audio records
Author :
Pavaloi, I. ; Musca, E. ; Rotaru, Florin
Author_Institution :
Iasi Branch, Inst. of Comput. Sci., Iasi, Romania
Abstract :
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.
Keywords :
audio recording; emotion recognition; speech processing; acoustic feature; audio records; discrete emotional state; emotion recognition; speaker emotion automatic recognition; speech corpora; Acoustics; Context; Emotion recognition; Speech; Speech recognition; Support vector machine classification; Training;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2013 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-3193-4
DOI :
10.1109/ISSCS.2013.6651236
