Spectral Subband Centroids as Complementary features for Speaker Authentication

Thian, N.P. H., Sanderson, C. and Bengio, S. (2004). Spectral Subband Centroids as Complementary features for Speaker Authentication. In: Lecture Notes in Computer Science: Biometric authentication : Lecture Notes in Computer Science 3072. Biometric authentication : first international conference, ICBA 2004, Hong Kong, (631-639). July 15-17, 2004. doi:10.1007/b98225


Author Thian, N.P. H.
Sanderson, C.
Bengio, S.
Title of paper Spectral Subband Centroids as Complementary features for Speaker Authentication
Conference name Biometric authentication : first international conference, ICBA 2004
Conference location Hong Kong
Conference dates July 15-17, 2004
Proceedings title Lecture Notes in Computer Science: Biometric authentication : Lecture Notes in Computer Science 3072   Check publisher's open access policy
Journal name Biometric Authentication, Proceedings   Check publisher's open access policy
Place of Publication Berlin ; London
Publisher Springer
Publication Year 2004
Sub-type Fully published paper
DOI 10.1007/b98225
Open Access Status Not yet assessed
ISBN 3540221468
ISSN 0302-9743
Volume 3072
Start page 631
End page 639
Total pages 9
Language eng
Abstract/Summary Most conventional features used in speaker authentication are based on estimation of spectral envelopes in one way or another, e.g., Mel-scale Filterbank Cepstrum Coefficients (MFCCs), Linear-scale Filterbank Cepstrum Coefficients (LFCCs) and Relative Spectral Perceptual Linear Prediction (RASTA-PLP). In this study, Spectral Subband Centroids (SSCs) are examined. These features are the centroid frequency in each subband. They have properties similar to formant frequencies but are limited to a given subband. Empirical experiments carried out on the NIST2001 database using SSCs, MFCCs, LFCCs and their combinations by concatenation suggest that SSCs are somewhat more robust compared to conventional MFCC and LFCC features as well as being partially complementary.
Subjects 090609 Signal Processing
080109 Pattern Recognition and Data Mining
010401 Applied Statistics
Q-Index Code EX

 
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Created: Wed, 01 Apr 2009, 01:30:31 EST by Maryanne Watson on behalf of School of Information Technol and Elec Engineering