19 citations · 39 across the 14 of their papers we have counts for
Showing 2023 · eess.ASShow all
2 papers · 2 filters
eess.AS2023★ 19 cited
Investigating the Design Space of Diffusion Models for Speech Enhancement
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard +3
Diffusion models are a new class of generative models that have shown outstanding performance in image generation literature. As a consequence, studies have attempted to apply diff…
eess.AS2023
Joint Minimum Processing Beamforming and Near-end Listening Enhancement
Andreas J. Fuglsig, Jesper Jensen, Zheng-Hua Tan +3
We consider speech enhancement for signals picked up in one noisy environment that must be rendered to a listener in another noisy environment. For both far-end noise reduction and…