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Multilingually trained bottleneck features in spoken language recognition., , , , , and . Comput. Speech Lang., (2017)Analysis of the BUT Diarization System for VoxConverse Challenge., , , , , , and . CoRR, (2020)Discriminatively Re-trained i-vector Extractor for Speaker Recognition., , , , and . CoRR, (2018)Investigation of Bottle-Neck Features for Emotion Recognition., , , , , and . TSD, volume 9924 of Lecture Notes in Computer Science, page 426-434. Springer, (2016)Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System., , , , and . IEEE Trans. Speech Audio Process., 15 (7): 1979-1986 (2007)Analysis of BUT-PT Submission for NIST LRE 2017., , , , , , , , , and 5 other author(s). Odyssey, page 47-53. ISCA, (2018)Analysis and Optimization of Bottleneck Features for Speaker Recognition., , , , , , , and . Odyssey, page 352-357. ISCA, (2016)BAT System Description for NIST LRE 2015., , , , , , , , and . Odyssey, page 166-173. 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 Score Normalization in Multilingual Speaker Recognition., , , , , and . INTERSPEECH, page 1567-1571. ISCA, (2017)