Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37987
Title: Applying articulatory features to telephone-based speaker verification
Authors: Leung, KY
Mak, MW 
Kung, SY
Keywords: Acoustic signal processing
Feature extraction
Mobile handsets
Sensor fusion
Speaker recognition
Spectral analysis
Issue Date: 2004
Source: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : May 17-21, 2004, Fairmont Queen Elizabeth Hotel, Montreal, Quebec, Canada, p. I-85-8 How to cite?
Abstract: This paper presents an approach that uses articulatory features (AF) derived from spectral features for telephone-based speaker verification. To minimize the acoustic mismatch caused by different handsets, handset-specific normalization is applied to the spectral features before the AF are extracted. Experimental results based on 150 speakers using 10 different handsets show that AF contain useful speaker-specific information for speaker verification and the use of handset-specific normalization significantly lowers the error rates under the handset mismatched conditions. Results also demonstrate that fusing the scores obtained from an AF-based system with those obtained from a spectral feature-based (MFCC) system helps lower the error rates of the individual systems.
URI: http://hdl.handle.net/10397/37987
ISBN: 0-7803-8484-9
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2004.1325928
Appears in Collections:Conference Paper

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