Please use this identifier to cite or link to this item:

Minimization of utterance verification error rate as a constrained optimization problem

Authors Siu, Man-Hung HKUST affiliated (currently or previously)
Mak, Brian View this author's profile
Au, Wing-Hei
Issue Date 2006
Source IEEE signal processing letters , v. 13, (12), 2006, DEC, p. 760-763
Summary Since utterance verification (UV) may be treated as a two-class classification problem, it may be improved with discriminative training such as minimum verification error training or minimum verification error rate training. However, since in practice, one usually has to pick a specific false-acceptance or false-rejection rate for one's system, it is more desirable to optimize UV performance at a particular operating point. In this letter, we show that further improvement can be achieved by treating UV at a specific operating point as a constrained optimization problem.
ISSN 1070-9908
Rights © 2006 IEEE. 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. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language English
Format Article
Access View full-text via DOI
View full-text via Web of Science
View full-text via Scopus
Files in this item:
File Description Size Format
x.spl2006sv.pdf 68163 B Adobe PDF