most citedImproved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states

11 citations · 11 across the 1 of their papers we have counts for

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cs.CL2014★ 11 cited

Improved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states

Imen Trabelsi, Dorra Ben Ayed, Noureddine Ellouze

The purpose of speech emotion recognition system is to classify speakers utterances into different emotional states such as disgust, boredom, sadness, neutral and happiness. Speech…