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A study on classification for the vowel signal accordingwith emotional state based on recurent fuzzy C-means algorithm

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dc.contributor.author ZBANCIOC, Marius
dc.contributor.author FERARU, Monica
dc.date.accessioned 2019-12-04T11:45:40Z
dc.date.available 2019-12-04T11:45:40Z
dc.date.issued 2012
dc.identifier.citation ZBANCIOC, Marius, FERARU, Monica. A study on classification for the vowel signal accordingwith emotional state based on recurent fuzzy C-means algorithm. In: Telecommunication, Electronics and Informatics - ICTEI 2012: proc. of the 4th intern. conf., Technical University of Moldova, May 17-20, 2012. Chișinău, 2012, Vol. 2, pp. 79-85. ISBN 978-9975-45-082-9. en_US
dc.identifier.isbn 978-9975-45-082-9
dc.identifier.uri http://repository.utm.md/handle/5014/7244
dc.description.abstract In this paper we used the recurent fuzzy C-means algorithm in order to compare the centers of the clusters with the statistic parameters obtained from the input data sets. Based on the experimental results, the FCM recurent is better than the clasical algorithms FCM and Kmeans. The results are encouraging and justify further research with new features vectors for the automatically emotion recognition. en_US
dc.language.iso ro en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject algoritm C-means en_US
dc.subject semnal vocal en_US
dc.subject stare emoţională en_US
dc.title A study on classification for the vowel signal accordingwith emotional state based on recurent fuzzy C-means algorithm en_US
dc.type Article en_US


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