Nonparametric distance measures of speaker verification

K.T. Ng; H. Li; J.-P. Haton; J. Su

doi:10.1049/el:19950489

Nonparametric distance measures of speaker verification

K.T. Ng
, H. Li
, J.-P. Haton
, J. Su

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages (from-to)	700-701
Journal	Electronics Letters
Volume	31
Issue number	9
DOIs	https://doi.org/10.1049/el:19950489
Publication status	Published - 27 Apr 1995

Research Keywords

Signal processing
Speaker recognition

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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.",

keywords = "Signal processing, Speaker recognition",

author = "K.T. Ng and H. Li and J.-P. Haton and J. Su",

year = "1995",

month = apr,

day = "27",

doi = "10.1049/el:19950489",

language = "English",

volume = "31",

pages = "700--701",

journal = "Electronics Letters",

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TY - JOUR

T1 - Nonparametric distance measures of speaker verification

AU - Ng, K.T.

AU - Li, H.

AU - Haton, J.-P.

AU - Su, J.

PY - 1995/4/27

Y1 - 1995/4/27

N2 - 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.

AB - 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.

KW - Signal processing

KW - Speaker recognition

UR - https://www.scopus.com/pages/publications/3042967143

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-3042967143&origin=recordpage

U2 - 10.1049/el:19950489

DO - 10.1049/el:19950489

M3 - RGC 21 - Publication in refereed journal

SN - 0013-5194

VL - 31

SP - 700

EP - 701

JO - Electronics Letters

JF - Electronics Letters

IS - 9

ER -

Nonparametric distance measures of speaker verification

Abstract

Research Keywords

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