Title
Nonparametric distance measures of speaker verification
Abstract
A nonparametric technique for speaker recognition and verification is proposed. The proposed distance measures differ from existing distance measures by their symmetry. These measures have been evaluated on a text-dependent database, achieving a 99.6% verification rate for 200 French speakers. In addition, it is shown that the covariance carries more speaker information than the sample mean
Year
DOI
Venue
1995
10.1049/el:19950489
Electronics Letters
Keywords
Field
DocType
covariance analysis,speaker recognition,covariance,distance measures,nonparametric technique,sample mean,speaker recognition,speaker verification,text-dependent database
Speaker verification,Pattern recognition,Computer science,Speech recognition,Nonparametric statistics,Artificial intelligence,Distance measures
Conference
Volume
Issue
ISSN
31
9
0013-5194
Citations 
PageRank 
References 
2
0.39
0
Authors
4
Name
Order
Citations
PageRank
Kai-Tat Ng1234.08
Haizhou Li23678334.61
Jean-Paul Haton338065.42
Su, J.420.39