3 papers
cs.SD2026
Absorbing Discrete Diffusion for Speech Enhancement
Philippe Gonzalez
Inspired by recent developments in neural speech coding and diffusion-based language modeling, we tackle speech enhancement by modeling the conditional distribution of clean speech…
eess.AS2026
End-to-End Multi-Task Learning for Adjustable Joint Noise Reduction and Hearing Loss Compensation
Philippe Gonzalez, Vera Margrethe Frederiksen, Torsten Dau +1
A multi-task learning framework is proposed for optimizing a single deep neural network (DNN) for joint noise reduction (NR) and hearing loss compensation (HLC). A distinct trainin…
eess.AS2025
Controllable joint noise reduction and hearing loss compensation using a differentiable auditory model
Philippe Gonzalez, Torsten Dau, Tobias May
Deep learning-based hearing loss compensation (HLC) seeks to enhance speech intelligibility and quality for hearing impaired listeners using neural networks. One major challenge of…