Sciweavers

ICASSP
2011
IEEE

Fast discriminative speaker verification in the i-vector space

12 years 7 months ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the class of all the other speakers, we directly solve the problem of classifying pairs of utterances as belonging to the same speaker or not. The paper illustrates the development of a suitable Support Vector Machine kernel from a state–of–the–art generative formulation, and proposes an efficient approach to train discriminative models. The results of the experiments performed on the tel–tel extended core condition of the NIST 2010 Speaker Recognition Evaluation are competitive or better, in terms of normalized Decision Cost Function and Equal Error Rate, compared to the more expensive generative models.
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Sandro Cumani, Niko Brümmer, Lukas Burget, Pietro Laface
Comments (0)