Discriminant NAP for SVM Speaker Recognition

Vogt, Robert J., Kajarekar, Sachin, & Sridharan, Sridha (2008) Discriminant NAP for SVM Speaker Recognition. In Odyssey 2008: The Speaker and Language Recognition Workshop, 21-24 January 2008, Stellenbosch, South Africa.


Nuisance Attribute Projection (NAP) provides an effective method of removing the unwanted session variability in a Support Vector Machine (SVM) based speaker recognition system by removing the principal components of this variability. There is no guarantee with the methods proposed, however, that desired speaker variability is retained.

This paper investigates the possibility of training NAP discriminatively to remove session variability while maintaining desirable speaker variability through an approach which is a variation on Scatter Difference Analysis (SDA). Experiments on NIST SRE tasks with a GMM mean supervector SVM system demonstrate a modest improvement by using SDA for NAP training by adding some speaker scatter.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

460 since deposited on 25 Feb 2008
17 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 12630
Item Type: Conference Paper
Refereed: Yes
Additional Information: For more information, please refer to the conference’s website (see hypertext link) or contact the author.
Additional URLs:
ISBN: 9780620403313
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2008 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 25 Feb 2008 00:00
Last Modified: 29 Feb 2012 13:48

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page