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Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make?

, , and . Interspeech, page 1059-1063. ISCA, (2021)

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Application-independent evaluation of speaker detection., and . Comput. Speech Lang., 20 (2-3): 230-275 (2006)The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF, and . CoRR, (2013)Tied Variational Autoencoder Backends for i-Vector Speaker Recognition., , and . INTERSPEECH, page 1004-1008. ISCA, (2017)Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification., , , , , and . INTERSPEECH, page 1559-1562. ISCA, (2009)How to use KL-divergence to construct conjugate priors, with well-defined non-informative limits, for the multivariate Gaussian.. CoRR, (2021)Eigenageing compensation for speaker verification., , and . INTERSPEECH, page 1624-1628. ISCA, (2013)Speaker vectors from subspace Gaussian mixture model as complementary features for language identification., , , , , , and . Odyssey, page 330-333. ISCA, (2012)VB calibration to improve the interface between phone recognizer and i-vector extractor.. CoRR, (2015)Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings., , , , , , and . CoRR, (2022)Mixture of PLDA Models in i-vector Space for Gender-Independent Speaker Recognition., , , , and . INTERSPEECH, page 25-28. ISCA, (2011)