From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification-Reference-Cited by-同舟云学术

From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification

Published:2014-08 Issue: Volume:31 Page:93-101
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Rajan Padmanabhan,Afanasyev Anton^ORCID,Hautamäki Ville,Kinnunen Tomi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference28 articles.

1. Front-end factor analysis for speaker verification;Dehak;IEEE Trans. Audio Speech Lang. Process.,2011

2. Probabilistic linear discriminant analysis for inferences about identity;Prince,2007

3. Computer Vision: Models Learning and Inference;Prince,2012

4. Handling recordings acquired simultaneously over multiple channels with PLDA;Villalba,2013

5. Robust speaker recognition in noisy conditions;Ming;IEEE Trans. Audio Speech Lang. Process.,2007

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