Abstract:
This paper proposes the addition of a weighted median Fisher
discriminator (WMFD) projection prior to length-normalised
Gaussian probabilistic linear discriminant analysis (GPLDA)
modelling in order to compensate the additional session variation.
In limited microphone data conditions, a linear-weighted
approach is introduced to increase the influence of microphone
speech dataset. The linear-weighted WMFD-projected GPLDA
system shows improvements in EER and DCF values over the
pooled LDA- and WMFD-projected GPLDA systems in interview-
interview condition as WMFD projection extracts more
speaker discriminant information with limited number of sessions/
speaker data, and linear-weighted GPLDA approach estimates
reliable model parameters with limited microphone data.
Index Terms: speaker verification, i-vectors, GPLDA,WMFD,
linear-weighted
