Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24201
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dc.contributor.authorKirandzhiska, Vesnaen_US
dc.contributor.authorAckovska, Nevenaen_US
dc.date.accessioned2022-11-07T10:05:19Z-
dc.date.available2022-11-07T10:05:19Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/24201-
dc.description.abstractHuman emotion perception is an open problem that can be used in human-to-computer communication. In this paper classification of human’s emotions will be done using the human voice and its features as input data. More precisely, different sound features used for human voice emotion classification will be explored and ranNed. An application which uses human sound features to classify two categories of human emotions: positive and negative emotions will be presented. The results will be given and explained. A comparison between the classifier built and the human’s natural classifier will also be presented.en_US
dc.publisherFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedoniaen_US
dc.titleSound features used in emotion classificationen_US
dc.typeProceeding articleen_US
dc.relation.conferenceCIIT 2012en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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