Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1864
Title: Improving Plda Speaker Verification With Limited Development Data
Authors: Ahilan, K.
Dean, D.
Sridharan, S.
Keywords: Speaker verification;PLDA;WLDA
Issue Date: 2014
Publisher: IEEE
Citation: Kanagasundaram, A., Dean, D., & Sridharan, S. (2014, May). Improving PLDA speaker verification with limited development data. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1665-1669). IEEE.
Abstract: 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 lengthnormalised 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.
URI: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1864
Appears in Collections:Electrical & Electronic Engineering

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