2 papers
eess.AS2023
Single-channel speech enhancement using learnable loss mixup
Oscar Chang, Dung N. Tran, Kazuhito Koishida
Generalization remains a major problem in supervised learning of single-channel speech enhancement. In this work, we propose learnable loss mixup (LLM), a simple and effortless tra…
cs.LG2018
Generative Adversarial Networks for Recovering Missing Spectral Information
Dung N. Tran, Trac D. Tran, Lam Nguyen
Ultra-wideband (UWB) radar systems nowadays typical operate in the low frequency spectrum to achieve penetration capability. However, this spectrum is also shared by many others co…