Speech Vocal Clustering Methods

Please use this identifier to cite or link to this item: https://er.chdtu.edu.ua/handle/ChSTU/3078

Title:	Speech Vocal Clustering Methods
Authors:	Fedorov, Eugene Utkina, Tetiana Rudakov, Kostiantyn Lukashenko, Andriy Zubko, Ihor Chychuzhko, Maryna Lukashenko, Valentyna Федоров, Євген Євгенович Уткіна, Тетяна Юріївна Рудаков, Костянтин Сергійович Лукашенко, Андрій Германович Зубко, Ігор Анатолійович Чичужко, Марина Володимирівна Лукашенко, Валентина Максимівна
Keywords:	vocal speech sound;centroid;medoid;clustering;inter-cluster distance;compression ratio;intra-cluster distance
Issue Date:	2020
Publisher:	CEUR Workshop Proceedings
Abstract:	The problem of increasing the clustering efficiency of vocal speech sounds is considered. Centroid and medoid clustering methods that use normalized distances which increases the efficiency of clustering, are proposed. Characteristics and quality criteria based on them are suggested for these methods. These methods have been investigated on TIMIT database and are intended for intelligent biometric identification systems.
URI:	https://er.chdtu.edu.ua/handle/ChSTU/3078
ISSN:	1613-0073
Issue:	2608
First Page:	1054
End Page:	1066
Appears in Collections:	Наукові публікації викладачів (ФІТІС)

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