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I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry., , , , and . INTERSPEECH, page 930-934. ISCA, (2013)Automatic regularization of cross-entropy cost for speaker recognition fusion., , , , , , , , , and 2 other author(s). INTERSPEECH, page 1609-1613. ISCA, (2013)Do Autonomous Agents Benefit from Hearing?, , , and . CoRR, (2019)Automatic versus human speaker verification: The case of voice mimicry., , , and . Speech Communication, (2015)PL-EESR: Perceptual Loss Based End-to-End Robust Speaker Representation Extraction., , , and . ASRU, page 106-113. IEEE, (2021)Comparing maximum a posteriori vector quantization and Gaussian mixture models in speaker verification., , , , and . ICASSP, page 4229-4232. IEEE, (2009)On the fusion of dissimilarity-based classifiers for speaker identification., , and . INTERSPEECH, ISCA, (2003)Effect of multicondition training on i-vector PLDA configurations for speaker recognition., , and . INTERSPEECH, page 3694-3697. ISCA, (2013)The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016., , , , and . INTERSPEECH, page 1328-1332. ISCA, (2017)Variation in Spoken North Sami Language., , and . INTERSPEECH, page 3299-3303. ISCA, (2016)