2025
Leveraging Out-of-Domain Noise for Unsupervised Domain Adaptation in Speech Enhancement
ICASSP 2025accepted
When there’s a mismatch between the training and test domains, supervised speech enhancement (SE) models trained on synthetic paired noisy-clean data often struggle in real-world scenarios, highlighting the industry’s strong demand for unsupervised training and domain adaptation methods. In this stu…