Title
Minimization of Utterance Verification Error Rate as a Constrained Optimization Problem
Abstract
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
Year
DOI
Venue
2006
10.1109/LSP.2006.879818
IEEE Signal Process. Lett.
Keywords
Field
DocType
false-acceptance rate,minimum verification error rate,optimisation,minimum verification error rate (mver),constrained optimization,speech recognition,false-rejection rate,index terms— utterance verification,discriminative training,minimum verification error (mve),utterance verification,utterance verification (uv),minimum verification error,uv error rate minimization,error statistics,error rate
Mathematical optimization,False rejection rate,Pattern recognition,Computer science,Operating point,Word error rate,Utterance,Minification,Artificial intelligence,Constrained optimization problem,Discriminative model,Constrained optimization
Journal
Volume
Issue
ISSN
13
12
1070-9908
Citations 
PageRank 
References 
1
0.35
12
Authors
3
Name
Order
Citations
PageRank
Manhung Siu146461.40
Brian Mak2122.81
Wing-Hei Au321.05