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In this article, we first establish the theory of optimal scores for speaker recognition.
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Douglas A Reynolds · 2002
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Yunqi Cai, Lantian Li, Dong Wang, and Andrew Abel · 2004
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Probabilistic linear discriminant analysis
Sergey Ioffe · 2006
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Probabilistic linear discriminant analysis for inferences about identity
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Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification
Najim Dehak, Reda Dehak, Patrick Kenny, Niko Brümmer, Pierre Ouellet, and Pierre Dumouchel · 2009
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Directional statistics
Kanti V Mardia and Peter E Jupp · 2009
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Gobinda G Chowdhury · 2010
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Bayesian speaker verification with heavy-tailed priors
Patrick Kenny · 2010
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Discriminatively trained probabilistic linear discriminant analysis for speaker verification
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Front-end factor analysis for speaker verification
Najim Dehak, Patrick J Kenny, Réda Dehak, Pierre Dumouchel, and Pierre Ouellet · 2011
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Discriminatively trained bayesian speaker comparison of i-vectors
Bengt J Borgström and Alan McCree · 2013
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The distribution of calibrated likelihood-ratios in speaker recognition
David A Van Leeuwen and Niko Br · 2013
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Deep neural networks for small footprint text-dependent speaker verification
Ehsan Variani, Xin Lei, Erik McDermott, Ignacio Lopez Moreno, and Javier Gonzalez-Dominguez · 2014
End-to-end attention based text-dependent speaker verification
Shi-Xiong Zhang, Zhuo Chen, Yong Zhao, Jinyu Li, and Yifan Gong · 2016
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Deep speaker feature learning for text-independent speaker verification
Lantian Li, Yixiang Chen, Ying Shi, Zhiyuan Tang, and Dong Wang · 2017
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Extended variability modeling and unsupervised adaptation for plda speaker recognition
Alan McCree, Gregory Sell, and Daniel Garcia-Romero · 2017
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Attention-based models for text-dependent speaker verification
FA Rezaur rahman Chowdhury, Quan Wang, Ignacio Lopez Moreno, and Li Wan · 2018
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Directional statistics in machine learning: a brief review
Suvrit Sra · 2018
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Foundations of data science
Avrim Blum, John Hopcroft, and Ravi Kannan · 2015
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Speaker recognition by machines and humans: A tutorial review
John HL Hansen and Taufiq Hasan · 2015
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Normalized word embedding and orthogonal transform for bilingual word translation
Chao Xing, Dong Wang, Chao Liu, and Yiye Lin · 2015
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End-to-end text-dependent speaker verification
Georg Heigold, Ignacio Moreno, Samy Bengio, and Noam Shazeer · 2016
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Deep speaker vector normalization with maximum gaussianality training, 2020b
Yunqi Cai, Lantian Li, Dong Wang, and Andrew Abel
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A principle solution for enroll-test mismatch in speaker recognition, 2020a
Lantian Li, Dong Wang, Jiawen Kang, Renyu Wang, Jing Wu, Zhendong Gao, and Xiao Chen
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Sandro Cumani and Pietro Laface · 2019
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Neural discriminant analysis for speaker recognition
Lantian Li, Dong Wang, and Thomas Fang Zheng · 2020
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A simulation study on optimal scores for speaker recognition
Dong Wang · 2020
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Deep generative LDA, 2020
Yunqi Cai and Dong Wang · 2021
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Squeezing value of cross-domain labels: A decoupled scoring approach for speaker verification, 2020c
Lantian Li, Yang Zhang, Thomas Fang Zheng, and Dong Wang · 2021
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