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On the Issue of Calibration in DNN-Based Speaker Recognition Systems.

, , , and . INTERSPEECH, page 1825-1829. ISCA, (2016)

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On the Issue of Calibration in DNN-Based Speaker Recognition Systems., , , and . INTERSPEECH, page 1825-1829. ISCA, (2016)Analysis of Complementary Information Sources in the Speaker Embeddings Framework., , , , and . INTERSPEECH, page 3568-3572. ISCA, (2018)ViVoLab and CVLab - MediaEval 2014: Violent Scenes Detection Affect Task., , , , and . MediaEval, volume 1263 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)How to train your speaker embeddings extractor., , , , and . Odyssey, page 327-334. ISCA, (2018)A Hierarchical Model for Spoken Language Recognition., , , and . CoRR, (2022)Calibration Approaches for Language Detection., , , and . INTERSPEECH, page 2804-2808. ISCA, (2017)The 2016 Speakers in the Wild Speaker Recognition Evaluation., , , and . INTERSPEECH, page 823-827. ISCA, (2016)A Discriminative Hierarchical PLDA-Based Model for Spoken Language Recognition., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2022)Adaptive Mean Normalization for Unsupervised Adaptation of Speaker Embeddings., , , , and . Odyssey, page 88-94. ISCA, (2020)Segmental-GMM Approach based on Acoustic Concept Segmentation., and . SLAM@INTERSPEECH, volume 1012 of CEUR Workshop Proceedings, page 15-19. CEUR-WS.org, (2013)