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

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