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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)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)