2001: A Speaker Odyssey - The Speaker Recognition Workshop
June 18-22, 2001
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
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.
Bibliographic reference. Pelecanos, Jason / Sridharan, Sridha (2001): "Feature warping for robust speaker verification", In ODYSSEY-2001, 213-218.