1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.AS2024
Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule
Siyi Wang, Siyi Liu, Andrew Harper +3
Recently, diffusion-based generative models have demonstrated remarkable performance in speech enhancement tasks. However, these methods still encounter challenges, including the l…
eess.AS2023★ 1 cited
On real-time multi-stage speech enhancement systems
Lingjun Meng, Jozef Coldenhoff, Paul Kendrick +4
Recently, multi-stage systems have stood out among deep learning-based speech enhancement methods. However, these systems are always high in complexity, requiring millions of param…
eess.AS2023
Multi-Channel MOSRA: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and a Teacher Model
Jozef Coldenhoff, Andrew Harper, Paul Kendrick +2
Previous methods for predicting room acoustic parameters and speech quality metrics have focused on the single-channel case, where room acoustics and Mean Opinion Score (MOS) are p…