Improving PLDA speaker verification with limited development data

Kanagasundaram, Ahilan, Dean, David, & Sridharan, Sridha (2014) Improving PLDA speaker verification with limited development data. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, Institute of Electrical and Electronics Engineers, Florence, Italy.


This paper analyses the probabilistic linear discriminant analysis (PLDA) speaker verification approach with limited development data. This paper investigates the use of the median as the central tendency of a speaker’s i-vector representation, and the effectiveness of weighted discriminative techniques on the performance of state-of-the-art length-normalised Gaussian PLDA (GPLDA) speaker verification systems. The analysis within shows that the median (using a median fisher discriminator (MFD)) provides a better representation of a speaker when the number of representative i-vectors available during development is reduced, and that further, usage of the pair-wise weighting approach in weighted LDA and weighted MFD provides further improvement in limited development conditions. Best performance is obtained using a weighted MFD approach, which shows over 10% improvement in EER over the baseline GPLDA system on mismatched and interview-interview conditions.

Impact and interest:

4 citations in Scopus
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ID Code: 66933
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Speaker verification, PLDA, i-vectors, MFD, WMFD
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Please consult the authors
Deposited On: 04 Feb 2014 23:25
Last Modified: 30 Jul 2014 04:42

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