2023
AURA: Privacy-Preserving Augmentation to Improve Test Set Diversity in Speech Enhancement
ICASSP 2023accepted
Speech enhancement models running in production environments are commonly trained on publicly available data. This approach leads to regressions due to the lack of training/testing on representative customer data. Moreover, due to privacy reasons, developers cannot listen to customer content. This ‘…