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Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection.

, , , and . SLT, page 489-495. IEEE, (2016)

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Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition., , , , , , , , , and 20 other author(s). CoRR, (2023)Do Autonomous Agents Benefit from Hearing?, , , and . CoRR, (2019)Distilling Reinforcement Learning Tricks for Video Games., , , and . CoG, page 1-4. IEEE, (2021)Effects of gender information in text-independent and text-dependent speaker verification., , , , and . ICASSP, page 5360-5364. IEEE, (2017)Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection., , , and . SLT, page 489-495. IEEE, (2016)Action Space Shaping in Deep Reinforcement Learning., , and . CoG, page 479-486. IEEE, (2020)Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition., , , , , , , , , and 24 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 171-188. PMLR, (2021)Automatic regularization of cross-entropy cost for speaker recognition fusion., , , , , , , , , and 2 other author(s). INTERSPEECH, page 1609-1613. ISCA, (2013)I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry., , , , and . INTERSPEECH, page 930-934. ISCA, (2013)PL-EESR: Perceptual Loss Based End-to-End Robust Speaker Representation Extraction., , , and . ASRU, page 106-113. IEEE, (2021)