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dc.contributor.authorM. N., Hasrul
dc.contributor.authorM, Hariharan, Dr.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.date.accessioned2012-10-11T04:14:04Z
dc.date.available2012-10-11T04:14:04Z
dc.date.issued2012-02-27
dc.identifier.citationp. 217-222en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6179008
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21318
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractAffective (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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectSpeech signalen_US
dc.subjectElectroglottograph (EGG) signalsen_US
dc.subjectRecognition of emotionen_US
dc.subjectClassification algorithmen_US
dc.titleHuman Affective (Emotion) behaviour analysis using speech signals: A reviewen_US
dc.typeWorking Paperen_US
dc.contributor.urlkids.hasrul@gmail.comen_US


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