19 citations · 56 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environments
Philippe Gonzalez, Tommy Sonne Alstrøm, Tobias May
The acoustic variability of noisy and reverberant speech mixtures is influenced by multiple factors, such as the spectro-temporal characteristics of the target speaker and the inte…
On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems
Philippe Gonzalez, Tommy Sonne Alstrøm, Tobias May
The performance of neural network-based speech enhancement systems is primarily influenced by the model architecture, whereas training times and computational resource utilization…