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http://hdl.handle.net/20.500.12188/24201
Title: | Sound features used in emotion classification | Authors: | Kirandzhiska, Vesna Ackovska, Nevena |
Issue Date: | 2012 | Publisher: | Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia | Conference: | CIIT 2012 | Abstract: | Human 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. | URI: | http://hdl.handle.net/20.500.12188/24201 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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