Referenced Items are not available for this document.
The channel or session variability is one of the major difficulty problems to deal with in speaker recognition systems. In this paper, a simplified factor analysis is proposed to solve the inter-session variability problem. We find the factor analysis method can achieve very good performance both in the GMM_UBM and the SVM systems. The proposed algorithm can get almost the same performance as the NAP algorithm in SVM system. In the NIST 2006 SRE core test, the EER of the factor analysis is about 5.0% in the SVM system and 4.9% in the GMM_UBM system.
Published in:
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Date of Conference: 7-9 July 2008
- Page(s):
- 1316 - 1319
- E-ISBN :
- 978-1-4244-1724-7
- Print ISBN:
- 978-1-4244-1723-0
- INSPEC Accession Number:
- 10155517
- Conference Location :
- Shanghai
- Digital Object Identifier :
- 10.1109/ICALIP.2008.4589963
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
