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The state-of-art approach to speaker verification involves the extraction of discriminative embeddings like x-vectors followed by a generative model back-end using a probabilistic linear discriminant analysis (PLDA).
“Speaker verification using adapted gaussian mixture models,”
Douglas A Reynolds, Thomas F Quatieri, and Robert B Dunn, · 2000
Earlier work this paper cites.
“Within-class covariance normalization for svm-based speaker recognition,”
Andrew O Hatch, Sachin Kajarekar, and Andreas Stolcke, · 2006
Earlier work this paper cites.
“Support vector machines using GMM supervectors for speaker verification,”
William M Campbell, Douglas E Sturim, and Douglas A Reynolds, · 2006
Earlier work this paper cites.
“Joint factor analysis versus eigenchannels in speaker recognition,”
Patrick Kenny, Gilles Boulianne, Pierre Ouellet, and Pierre Dumouchel, · 2007
Earlier work this paper cites.
“Language score calibration using adapted gaussian back-end,”
Mohamed Faouzi BenZeghiba, Jean-Luc Gauvain, and Lori Lamel, · 2009
Earlier work this paper cites.
“Bayesian speaker verification with heavy-tailed priors.,”
Patrick Kenny, · 2010
Earlier work this paper cites.
“Front-end factor analysis for speaker verification,”
Najim Dehak, Patrick J Kenny, Réda Dehak, Pierre Dumouchel, and Pierre Ouellet, · 2011
Earlier work this paper cites.
“Analysis of i-vector length normalization in speaker recognition systems,”
Daniel Garcia-Romero and Carol Y Espy-Wilson, · 2011
Earlier work this paper cites.
“Discriminatively trained probabilistic linear discriminant analysis for speaker verification,”
Lukáš Burget, Oldřich Plchot, Sandro Cumani, Ondřej Glembek, Pavel Matějka, and Niko Brümmer, · 2011
Cited alongside, same era.
“Adaptive Gaussian backend for robust language identification.,”
Mitchell McLaren, Aaron Lawson, Yun Lei, and Nicolas Scheffer, · 2013
Cited alongside, same era.
“Pairwise discriminative speaker verification in the i-vector space,”
Sandro Cumani, Niko Brümmer, Lukáš Burget, Pietro Laface, Oldřich Plchot, and Vasileios Vasilakakis, · 2013
Cited alongside, same era.
“Large-scale training of pairwise support vector machines for speaker recognition,”
Sandro Cumani and Pietro Laface, · 2014
Cited alongside, same era.
“Generative pairwise models for speaker recognition,”
Sandro Cumani and Pietro Laface, · 2014
Cited alongside, same era.
“End-to-end text-independent speaker verification with triplet loss on short utterances.,”
“How to train your speaker embeddings extractor,”
Mitchell Mclaren, Diego Castán, Mahesh Kumar Nandwana, Luciana Ferrer, and Emre Yilmaz, · 2018
Later among the works it cites.
“NIST 2018 Speaker Recognition Evaluation Plan,” https://www.nist.gov/sites/default/files/documents/2018/08/17/sre18_eval_plan_2018-05-31_v6.pdf
Omid Sadjadi, · 2018
Later among the works it cites.
“End-to-end DNN based speaker recognition inspired by i-vector and PLDA,”
Johan Rohdin, Anna Silnova, Mireia Diez, Oldřch Plchot, Pavel Matějka, and Lukáš Burget, · 2018
Later among the works it cites.
“Generalized end-to-end loss for speaker verification,”
Li Wan, Quan Wang, Alan Papir, and Ignacio Lopez Moreno, · 2018
Later among the works it cites.
“Voxceleb2: Deep speaker recognition,”
Joon Son Chung, Arsha Nagrani, and Andrew Zisserman, · 2018
Later among the works it cites.
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Chunlei Zhang and Kazuhito Koishida, · 2017
Cited alongside, same era.
“Voxceleb: a large-scale speaker identification dataset,”
Arsha Nagrani, Joon Son Chung, and Andrew Zisserman, · 2017
Cited alongside, same era.
“X-vectors: Robust dnn embeddings for speaker recognition,”
David Snyder, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, and Sanjeev Khudanpur, · 2018
Cited alongside, same era.
Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Jonas Borgstrom, Leibny Paola García-Perera, Fred Richardson, Réda Dehak, et al., · 2019
Later among the works it cites.
“Optimizing a speaker embedding extractor through backend-driven regularization,”
Luciana Ferrer and Mitchell McLaren, · 2019
Later among the works it cites.
“The LEAP speaker recognition system for NIST SRE 2018 challenge,”
Shreyas Ramoji, Anand Mohan, Bhargavram Mysore, Anmol Bhatia, Prachi Singh, Harsha Vardhan, and Sriram Ganapathy, · 2019
Later among the works it cites.