Emotion recognition in i-vector space
Lenka Macková, Anton Čižmár, Jozef Juhár · 2016
Emotions in speech are the key to the fluent human communication. The investigation of emotions in speech has been reported in many different studies. Thus the scope of this article is dedicated to the emotion recognition from speech signal. To find out the best recognition performance of used system, different cepstral coefficient were extracted from the emotional recordings of two female and one male speaker on the frame basis. The extracted supervector were projected to reduced form of i-vectors. Classification of such processed vectors was provided, and classification performance of individual spectral features extracted is discussed.