Zengjie Tao

Deep learning-driven joint blind source separation and noise suppression for audio signals: a performance optimization study

Abstract Separating overlapping talkers and suppressing non-stationary noise are coupled problems, yet conventional pipelines solve them in isolation, so separation artifacts propagate untouched into the denoising stage. We therefore build a time–frequency joint separation–denoising network: a learnable encoder, a mult...