3 papers
eess.SP2026
Discovery of unobservable parameters via physical embedding
Le Cheng, Xiaoran Liu, Lingjin Kong +7
Recovering a source signal from indirect measurements often requires estimating latent parameters, such as wireless channel states or MRI coil sensitivities, that cannot be directl…
cs.SD2026
Noise-Conditioned Mixture-of-Experts Framework for Robust Speaker Verification
Bin Gu, Haitao Zhao, Jibo Wei
Robust speaker verification under noisy conditions remains an open challenge. Conventional deep learning methods learn a robust unified speaker representation space against diverse…
cs.SD2026
A Stage-Wise Learning Strategy with Fixed Anchors for Robust Speaker Verification
Bin Gu, Lipeng Dai, Huipeng Du +2
Learning robust speaker representations under noisy conditions presents significant challenges, which requires careful handling of both discriminative and noise-invariant propertie…