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C3-DINO: Joint Contrastive and Non-contrastive Self-Supervised Learning for Speaker Verification.

, and . CoRR, (2022)

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C3-DINO: Joint Contrastive and Non-contrastive Self-Supervised Learning for Speaker Verification., and . CoRR, (2022)I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences., , , , , , , , , and 36 other author(s). CoRR, (2019)UTD-CRSS Systems for 2018 NIST Speaker Recognition Evaluation., , , , , and . ICASSP, page 5776-5780. IEEE, (2019)An Exploration of Directly Using Word as ACOUSTIC Modeling Unit for Speech Recognition., , , , and . SLT, page 64-69. IEEE, (2018)Towards Robust Speaker Verification with Target Speaker Enhancement., , , and . ICASSP, page 6693-6697. IEEE, (2021)Non-gradient Extremum Seeking Control of Feedback Linearizable Systems with Application to ABS Design., and . CDC, page 6666-6671. IEEE, (2006)Prosody-TTS: Improving Prosody with Masked Autoencoder and Conditional Diffusion Model For Expressive Text-to-Speech., , , , and . ACL (Findings), page 8018-8034. Association for Computational Linguistics, (2023)LAE: Language-Aware Encoder for Monolingual and Multilingual ASR., , , , and . INTERSPEECH, page 3178-3182. ISCA, (2022)Text-Available Speaker Recognition System for Forensic Applications., , , , and . INTERSPEECH, page 1844-1847. ISCA, (2016)Progressive Contrastive Learning for Self-Supervised Text-Independent Speaker Verification., , , and . Odyssey, page 17-24. ISCA, (2022)