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Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models.

, , , , , and . ICASSP, page 6718-6722. IEEE, (2021)

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Don't Speak Too Fast: The Impact of Data Bias on Self-Supervised Speech Models., , , and . ICASSP, page 3258-3262. IEEE, (2022)SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities., , , , , , , , , and 7 other author(s). ACL (1), page 8479-8492. Association for Computational Linguistics, (2022)A Large-Scale Evaluation of Speech Foundation Models., , , , , , , , , and 11 other author(s). IEEE ACM Trans. Audio Speech Lang. Process., (2024)Understanding Self-Attention of Self-Supervised Audio Transformers., , and . INTERSPEECH, page 3785-3789. ISCA, (2020)SUPERB: Speech Processing Universal PERformance Benchmark., , , , , , , , , and 10 other author(s). Interspeech, page 1194-1198. ISCA, (2021)On the social bias of speech self-supervised models., , , , and . CoRR, (2024)Towards Robust Neural Vocoding for Speech Generation: A Survey., , , and . CoRR, (2019)Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models., , , , , and . ICASSP, page 6718-6722. IEEE, (2021)Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion., , and . INTERSPEECH, page 1108-1112. ISCA, (2019)Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders., , , , and . ICASSP, page 6419-6423. IEEE, (2020)