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.
Cite as: Kanagasundaram, A., Dean, D., Sridharan, S. (2015) Improving PLDA speaker verification using WMFD and linear-weighted approaches in limited microphone data conditions. Proc. Interspeech 2015, 2332-2336, doi: 10.21437/Interspeech.2015-505
@inproceedings{kanagasundaram15_interspeech,
author={Ahilan Kanagasundaram and David Dean and Sridha Sridharan},
title={{Improving PLDA speaker verification using WMFD and linear-weighted approaches in limited microphone data conditions}},
year=2015,
booktitle={Proc. Interspeech 2015},
pages={2332--2336},
doi={10.21437/Interspeech.2015-505}
}