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From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification.

P. Rajan, A. Afanasyev, V. Hautamäki, and T. Kinnunen. Digital Signal Processing, (2014)

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I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry.R. Hautamäki, T. Kinnunen, V. Hautamäki, T. Leino, and A. Laukkanen. INTERSPEECH, page 930-934. ISCA, (2013)Automatic regularization of cross-entropy cost for speaker recognition fusion.V. Hautamäki, K. Lee, D. van Leeuwen, R. Saeidi, A. Larcher, T. Kinnunen, T. Hasan, S. Sadjadi, G. Liu, H. Boril and 2 other author(s). INTERSPEECH, page 1609-1613. ISCA, (2013)Automatic versus human speaker verification: The case of voice mimicry.R. Hautamäki, T. Kinnunen, V. Hautamäki, and A. Laukkanen. Speech Communication, (2015)Do Autonomous Agents Benefit from Hearing?A. Woubie, A. Kanervisto, J. Karttunen, and V. Hautamäki. CoRR, (2019)PL-EESR: Perceptual Loss Based End-to-End Robust Speaker Representation Extraction.Y. Ma, K. Lee, V. Hautamäki, and H. Li. ASRU, page 106-113. IEEE, (2021)Comparing maximum a posteriori vector quantization and Gaussian mixture models in speaker verification.T. Kinnunen, J. Saastamoinen, V. Hautamäki, M. Vinni, and P. Fränti. ICASSP, page 4229-4232. IEEE, (2009)Comparative evaluation of maximum a Posteriori vector quantization and gaussian mixture models in speaker verification.T. Kinnunen, J. Saastamoinen, V. Hautamäki, M. Vinni, and P. Fränti. Pattern Recognition Letters, 30 (4): 341-347 (2009)On the fusion of dissimilarity-based classifiers for speaker identification.T. Kinnunen, V. Hautamäki, and P. Fränti. INTERSPEECH, ISCA, (2003)Effect of multicondition training on i-vector PLDA configurations for speaker recognition.P. Rajan, T. Kinnunen, and V. Hautamäki. INTERSPEECH, page 3694-3697. ISCA, (2013)RSEM: An Accelerated Algorithm on Repeated EM.Q. Zhao, V. Hautamäki, and P. Fränti. ICIG, page 135-140. IEEE Computer Society, (2011)

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From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification.

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From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification.