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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21318

Title: Human Affective (Emotion) behaviour analysis using speech signals: A review
Authors: M. N., Hasrul
M, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
???metadata.dc.contributor.url???: kids.hasrul@gmail.com
Keywords: Speech signal;Electroglottograph (EGG) signals;Recognition of emotion;Classification algorithm
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 217-222
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
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.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6179008
ISBN: 978-145771989-9
Appears in Collections:Hariharan Muthusamy, Dr.
Conference Papers
Sazali Yaacob, Prof. Dr.

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