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Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment.

, , and . INTERSPEECH, page 4365-4369. ISCA, (2019)

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Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification., , , , , , and . CoRR, (2023)From Speaker Verification to Deepfake Algorithm Recognition: Our Learned Lessons from ADD2023 Track 3., , , , and . DADA@IJCAI, volume 3597 of CEUR Workshop Proceedings, page 107-112. CEUR-WS.org, (2023)The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge., , , and . INTERSPEECH, page 2493-2497. ISCA, (2019)Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment., , and . INTERSPEECH, page 4365-4369. ISCA, (2019)Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings., , , , and . INTERSPEECH, page 1436-1440. ISCA, (2022)The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022., , , , , , and . CoRR, (2022)HI-MIA: A Far-Field Text-Dependent Speaker Verification Database and the Baselines., , and . ICASSP, page 7609-7613. IEEE, (2020)SIG-VC: A Speaker Information Guided Zero-Shot Voice Conversion System for Both Human Beings and Machines., , , and . ICASSP, page 6567-65571. IEEE, (2022)The DKU-JNU-EMA Electromagnetic Articulography Database on Mandarin and Chinese Dialects with Tandem Feature based Acoustic-to-Articulatory Inversion., , , , , and . ISCSLP, page 235-239. IEEE, (2018)Simple Attention Module Based Speaker Verification with Iterative Noisy Label Detection., , , , and . ICASSP, page 6722-6726. IEEE, (2022)