Feature Warping for Robust Speaker Verification

Pelecanos, Jason & Sridharan, Sridha (2001) Feature Warping for Robust Speaker Verification. In 2001: A Speaker Odyssey - The Speaker Recognition Workshop, June 18-22, 2001, Crete, Greece.


We propose a novel feature mapping approach that is robust to channel mismatch, additive noise and to some extent, non-linear effects attributed to handset transducers. These adverse effects can distort the short-term distribution of the speech features. Some methods have addressed this issue by conditioning the variance of the distribution, but not to the extent of conforming the speech statistics to a target distribution. The proposed target mapping method warps the distribution of a cepstral feature stream to a standardised distribution over a specified time interval. We evaluate a number of the enhancement methods for speaker verification, and compare them against a Gaussian target mapping implementation. Results indicate improvements of the warping technique over a number of methods such as Cepstral Mean Subtraction (CMS), modulation spectrum processing, and short-term windowed CMS and variance normalisation.

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ID Code: 10408
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISSN: 1018-4554
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2001 (please consult author)
Deposited On: 25 Oct 2007 00:00
Last Modified: 09 Jun 2010 12:48

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