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Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks., , , и . CoRR, (2020)From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization., , , и . INTERSPEECH, стр. 5095-5099. ISCA, (2022)Adaptation Approaches for Pronunciation Scoring with Sparse Training Data., , и . SPECOM, том 10458 из Lecture Notes in Computer Science, стр. 87-97. Springer, (2017)But System for the Second Dihard Speech Diarization Challenge., , , , , , , , , и 2 other автор(ы). ICASSP, стр. 6529-6533. IEEE, (2020)Discriminative Training of VBx Diarization., , , , , , и . CoRR, (2023)BUT System for DIHARD Speech Diarization Challenge 2018., , , , , , , , , и 2 other автор(ы). INTERSPEECH, стр. 2798-2802. ISCA, (2018)Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization., , , и . ICASSP, стр. 1-5. IEEE, (2023)Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge., , , , и . ICASSP, стр. 6519-6523. IEEE, (2020)Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio., , , , , , и . CoRR, (2024)Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks., , , и . Comput. Speech Lang., (2022)