Title :
An investigation of emotion changes from speech
Author_Institution :
School of Electrical Engineering and Telecommunications The University of New South Wales, Sydney, Australia
Abstract :
Emotion recognition based on speech plays an important role in Human Computer Interaction (HCI), which has motivated extensive recent investigation into this area. However, current research on emotion recognition is focused on recognizing emotion on a per-file basis and mostly does not provide insight into emotion changes. In my research, emotion transition problem will be investigated, including localizing emotion change points, recognizing emotion transition patterns and predicting or recognizing emotion changes. As well as being potentially important in applications, the research delving into emotion changes paves the way towards a better understanding of emotions from engineering and potentially psychological perspectives.
Keywords :
"Hidden Markov models","Emotion recognition","Databases","Speech","Feature extraction","Speech recognition"
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
Electronic_ISBN :
2156-8111
DOI :
10.1109/ACII.2015.7344650