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…