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Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification.

, , , , , , , and . ICASSP, page 6147-6151. IEEE, (2022)

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Attention-Based Encoder-Decoder End-to-End Neural Diarization With Embedding Enhancer., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing., , , , , , , , , and 8 other author(s). CoRR, (2021)Dual Path Embedding Learning for Speaker Verification with Triplet Attention., , and . INTERSPEECH, page 291-295. ISCA, (2022)Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition., , , , , , , and . CoRR, (2023)Self-Knowledge Distillation via Feature Enhancement for Speaker Verification., , , , and . ICASSP, page 7542-7546. IEEE, (2022)Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition., , , , , , , and . ICASSP, page 10901-10905. IEEE, (2024)Enroll-Aware Attentive Statistics Pooling for Target Speaker Verification., , and . INTERSPEECH, page 311-315. ISCA, (2022)A Statistical-Feature ML Approach to IP Traffic Classification Based on CUDA., , , , and . Trustcom/BigDataSE/ISPA, page 2235-2239. IEEE, (2016)Multi-Modality Matters: A Performance Leap on VoxCeleb., , and . INTERSPEECH, page 2252-2256. ISCA, (2020)Attentive Feature Fusion for Robust Speaker Verification., , and . INTERSPEECH, page 286-290. ISCA, (2022)