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cs.SD2025
SaD: A Scenario-Aware Discriminator for Speech Enhancement
Xihao Yuan, Siqi Liu, Yan Chen +4
Generative adversarial network-based models have shown remarkable performance in the field of speech enhancement. However, the current optimization strategies for these models pred…
cs.CV2025
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution
Haizhen Xie, Kunpeng Du, Qiangyu Yan +5
Utilizing pre-trained Text-to-Image (T2I) diffusion models to guide Blind Super-Resolution (BSR) has become a predominant approach in the field. While T2I models have traditionally…
cs.SD2025
Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement
Xihao Yuan, Siqi Liu, Hanting Chen +3
Deep learning-based speech enhancement (SE) models have recently outperformed traditional techniques, yet their deployment on resource-constrained devices remains challenging due t…