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Analyzing Speaker Verification Embedding Extractors and Back-Ends Under Language and Channel Mismatch.

, , , , , , , , and . Odyssey, page 9-16. ISCA, (2022)

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STBU System for the NIST 2006 Speaker Recognition Evaluation., , , , , , , , , and . ICASSP (4), page 221-224. IEEE, (2007)Domain adaptation via within-class covariance correction in I-vector based speaker recognition systems., , , , , , and . ICASSP, page 4032-4036. IEEE, (2014)End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA., , , , , and . ICASSP, page 4874-4878. IEEE, (2018)Investigation of Bottle-Neck Features for Emotion Recognition., , , , , and . TSD, volume 9924 of Lecture Notes in Computer Science, page 426-434. Springer, (2016)Discriminatively Re-trained i-vector Extractor for Speaker Recognition., , , , and . CoRR, (2018)i-Vector/HMM Based Text-Dependent Speaker Verification System for RedDots Challenge., , , , , and . INTERSPEECH, page 440-444. ISCA, (2016)Discriminative training and channel compensation for acoustic language recognition., , , and . INTERSPEECH, page 301-304. ISCA, (2008)BUT language recognition system for NIST 2007 evaluations., , , , , , , , and . INTERSPEECH, page 739-742. ISCA, (2008)Analysis of Score Normalization in Multilingual Speaker Recognition., , , , , and . INTERSPEECH, page 1567-1571. ISCA, (2017)BAT System Description for NIST LRE 2015., , , , , , , , and . Odyssey, page 166-173. ISCA, (2016)