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Speaker vectors from subspace Gaussian mixture model as complementary features for language identification.

, , , , , , and . Odyssey, page 330-333. ISCA, (2012)

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VB calibration to improve the interface between phone recognizer and i-vector extractor.. CoRR, (2015)Fast discriminative speaker verification in the i-vector space., , , and . ICASSP, page 4852-4855. IEEE, (2011)Comparison of scoring methods used in speaker recognition with Joint Factor Analysis., , , , and . ICASSP, page 4057-4060. IEEE, (2009)Building language detectors using small amounts of training data., and . Odyssey, page 15. ISCA, (2008)Mixture of PLDA Models in i-vector Space for Gender-Independent Speaker Recognition., , , , and . INTERSPEECH, page 25-28. ISCA, (2011)Analysis and Description of ABC Submission to NIST SRE 2016., , , , , , , , , and 5 other author(s). INTERSPEECH, page 1348-1352. ISCA, (2017)Constrained speaker linking., and . INTERSPEECH, page 373-377. ISCA, (2014)Speaker vectors from subspace Gaussian mixture model as complementary features for language identification., , , , , , and . Odyssey, page 330-333. ISCA, (2012)Eigenageing compensation for speaker verification., , and . INTERSPEECH, page 1624-1628. ISCA, (2013)Tied Variational Autoencoder Backends for i-Vector Speaker Recognition., , and . INTERSPEECH, page 1004-1008. ISCA, (2017)