One of the biggest challenges in speaker recognition is dealing with speaker-emotion variability. The basic problem is how to train the emotion GMMs of the speakers from their neu...
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
Abstract. If we wish to implement dialogue systems which express emotion, dialogue corpora annotated for emotion would be a valuable resource. In order to develop such corpora we r...
Abstract. The recognition of the emotional states of speaker is a multidisciplinary research area that has received great interest in the last years. One of the most important goal...
Enrique M. Albornoz, Diego H. Milone, Hugo Leonard...
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...