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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)End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA., , , , , and . ICASSP, page 4874-4878. IEEE, (2018)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)BAT System Description for NIST LRE 2015., , , , , , , , and . Odyssey, page 166-173. ISCA, (2016)Analysis and Optimization of Bottleneck Features for Speaker Recognition., , , , , , , and . Odyssey, page 352-357. ISCA, (2016)Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system., , , , , , , , , and 1 other author(s). Odyssey, page 37. ISCA, (2010)Analysis of BUT-PT Submission for NIST LRE 2017., , , , , , , , , and 5 other author(s). Odyssey, page 47-53. ISCA, (2018)Discriminative training and channel compensation for acoustic language recognition., , , and . INTERSPEECH, page 301-304. ISCA, (2008)