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WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing., , , , , , , , , и 8 other автор(ы). CoRR, (2021)Self-Knowledge Distillation via Feature Enhancement for Speaker Verification., , , , и . ICASSP, стр. 7542-7546. IEEE, (2022)Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition., , , , , , , и . CoRR, (2023)Dual Path Embedding Learning for Speaker Verification with Triplet Attention., , и . INTERSPEECH, стр. 291-295. ISCA, (2022)Enroll-Aware Attentive Statistics Pooling for Target Speaker Verification., , и . INTERSPEECH, стр. 311-315. ISCA, (2022)Attention-Based Encoder-Decoder End-to-End Neural Diarization With Embedding Enhancer., , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition., , , , , , , и . ICASSP, стр. 10901-10905. IEEE, (2024)SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022., , , , , и . CoRR, (2022)A Comprehensive Study on Self-Supervised Distillation for Speaker Representation Learning., , , , и . SLT, стр. 599-604. IEEE, (2022)A Statistical-Feature ML Approach to IP Traffic Classification Based on CUDA., , , , и . Trustcom/BigDataSE/ISPA, стр. 2235-2239. IEEE, (2016)