Sound Features Used in Emotion Classification

Kirandzhiska, Vesna and Ackovska, Nevena (2012) Sound Features Used in Emotion Classification. In: Proceedings of the Nineth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 91-95. ISBN 978-608-4699-01-9

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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 ranked. 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.

Item Type: Book Section
Uncontrolled Keywords: sound feature extraction, emotion detection, classification, machine learning, artificial intelligence, psychology of human voice
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11326

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