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On the Issue of Calibration in DNN-Based Speaker Recognition Systems.

, , , and . INTERSPEECH, page 1825-1829. ISCA, (2016)

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A discriminative condition-aware backend for speaker verification., and . CoRR, (2019)Improved speaker recognition using DCT coefficients as features., and . ICASSP, page 4430-4434. IEEE, (2015)A novel scheme for speaker recognition using a phonetically-aware deep neural network., , , and . ICASSP, page 1695-1699. IEEE, (2014)SVM Speaker Verification Using Session Variability Modelling and GMM Supervectors., , and . ICB, volume 4642 of Lecture Notes in Computer Science, page 1077-1084. Springer, (2007)The SRI AVEC-2014 Evaluation System., , , , , , and . AVEC@MM, page 93-101. ACM, (2014)The Speakers in the Wild (SITW) Speaker Recognition Database., , , and . INTERSPEECH, page 818-822. ISCA, (2016)Open Language Interface for Voice Exploitation (OLIVE)., , , , , , , , and . INTERSPEECH, page 377-378. ISCA, (2016)Employing Phonetic Information in DNN Speaker Embeddings to Improve Speaker Recognition Performance., , , , and . INTERSPEECH, page 3593-3597. ISCA, (2018)Modulation features for noise robust speaker identification., , , , and . INTERSPEECH, page 3703-3707. ISCA, (2013)Combining continuous progressive model adaptation and factor analysis for speaker verification., , , and . INTERSPEECH, page 857-860. ISCA, (2008)