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Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge., , , , and . ICASSP, page 6519-6523. IEEE, (2020)End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA., , , , , and . ICASSP, page 4874-4878. IEEE, (2018)Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization., , , and . ICASSP, page 1-5. IEEE, (2023)Analysis of BUT-PT Submission for NIST LRE 2017., , , , , , , , , and 5 other author(s). Odyssey, page 47-53. ISCA, (2018)The Albayzin 2010 Language Recognition Evaluation., , , , and . INTERSPEECH, page 1529-1532. ISCA, (2011)KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments., , , , and . LREC, page 99-105. European Language Resources Association (ELRA), (2012)KALAKA-3: a database for the recognition of spoken European languages on YouTube audios., , , , and . LREC, page 443-449. European Language Resources Association (ELRA), (2014)End-to-end DNN Based Speaker Recognition Inspired by i-vector and PLDA., , , , , and . CoRR, (2017)DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors., , , and . CoRR, (2023)Discriminative Training of VBx Diarization., , , , , , and . CoRR, (2023)