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Biometric Authentication: A Machine Learning Approach
book

Biometric Authentication: A Machine Learning Approach

by S. Y. Kung, M. W. Mak, S. H. Lin
September 2004
Intermediate to advanced
496 pages
13h 57m
English
Pearson
Content preview from Biometric Authentication: A Machine Learning Approach

9.4. Handset and Channel Distortion

Because of the proliferation of e-banking and e-commerce, recent research on speaker verification has focused on verifying speakers' identity over the phone. A challenge of phone-based speaker verification is that transducer variability could result in acoustic mismatches of the speech data gathered from different handsets. The recent popularity of mobile and Internet phones further complicates the problem, because speech coders in these phones also introduce acoustic distortion to the speech signals. The sensitivity to handset variations and speech coding algorithms means that handset compensation techniques are essential for practical speaker verification systems.

This section describes several compensation ...

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Publisher Resources

ISBN: 0131478249Purchase book