A combination approach of gaussian mixture models and support vector machines for speaker identification
Joint Authors
Djemili, Rafiq
Bu Rubah, Husayn
Korba, Amara
Source
The International Arab Journal of Information Technology
Issue
Vol. 6, Issue 5 (30 Nov. 2009), pp.490-497, 8 p.
Publisher
Publication Date
2009-11-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Gaussian mixture models are commonly used in speaker identification and verification systems.
However, owing to their non discrimination nature, Gaussian mixture models still give greater identification errors in the evaluation process.
Partitioning speaker database in clusters based on some proximity criteria where only a single cluster Gaussian mixture models is run in every test, have been suggested in literature generally to speed up the identification process for very large databases.
In this paper, we propose a hierarchical clustering scheme using the discriminant power of support vector machines.
Speakers are divided into small subsets and evaluation is then processed by GMMs.
Experimental results show that the proposed method reduced significantly the error in overall speaker identification tests.
American Psychological Association (APA)
Djemili, Rafiq& Bu Rubah, Husayn& Korba, Amara. 2009. A combination approach of gaussian mixture models and support vector machines for speaker identification. The International Arab Journal of Information Technology،Vol. 6, no. 5, pp.490-497.
https://search.emarefa.net/detail/BIM-10128
Modern Language Association (MLA)
Djemili, Rafiq…[et al.]. A combination approach of gaussian mixture models and support vector machines for speaker identification. The International Arab Journal of Information Technology Vol. 6, no. 5 (Nov. 2009), pp.490-497.
https://search.emarefa.net/detail/BIM-10128
American Medical Association (AMA)
Djemili, Rafiq& Bu Rubah, Husayn& Korba, Amara. A combination approach of gaussian mixture models and support vector machines for speaker identification. The International Arab Journal of Information Technology. 2009. Vol. 6, no. 5, pp.490-497.
https://search.emarefa.net/detail/BIM-10128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 496-497
Record ID
BIM-10128