Title :
Human Affective (Emotion) behaviour analysis using speech signals: A review
Author :
Hasrul, M.N. ; Hariharan, M. ; Yaacob, Sazali
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis (UniMAP), Ulu Pauh, Malaysia
Abstract :
Affective (Emotional) state of a person is very important in medical application due to the fact that it can indicate the stress level of an individual. This can be done through manipulating the speech signal of individual that had been exposed to certain environment. Nowadays, emotion recognition in speech is a topic worth exploring in understanding how human being react and interact with the environment and towards each other which still remains to be one of the extreme scientific challenges. This paper will review on some of the most common speech features used in conveying emotions from speech signal. Also, presented are some of the effective techniques which are used to classify speech based on their emotions.
Keywords :
bioelectric potentials; emotion recognition; medical signal processing; signal classification; speech processing; speech recognition; EGG; emotion recognition; human affective behaviour analysis; medical application; speech features; speech signal manipulation; stress level; Emotion recognition; Feature extraction; Hidden Markov models; Humans; Speech; Speech recognition; Support vector machines; Classification Algorithm; EGG Signals; Recognition of Emotion; Speech Signals;
Conference_Titel :
Biomedical Engineering (ICoBE), 2012 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1990-5
DOI :
10.1109/ICoBE.2012.6179008