17 citations · 18 across the 10 of their papers we have counts for
4 papers · 1 filter
Diffusion-based Frameworks for Unsupervised Speech Enhancement
Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel +1
This paper addresses unsupervised diffusion-based single-channel speech enhancement (SE). Prior work in this direction combines a score-based diffusion model trained on clean speec…
Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement
Mostafa Sadeghi, Jean-Eudes Ayilo, Romain Serizel +1
We explore unsupervised speech enhancement using diffusion models as expressive generative priors for clean speech. Existing approaches guide the reverse diffusion process using no…
Diffusion-based Unsupervised Audio-visual Speech Enhancement
Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel +1
This paper proposes a new unsupervised audio-visual speech enhancement (AVSE) approach that combines a diffusion-based audio-visual speech generative model with a non-negative matr…
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge
Simon Leglaive, Matthieu Fraticelli, Hend ElGhazaly +7
Supervised models for speech enhancement are trained using artificially generated mixtures of clean speech and noise signals. However, the synthetic training conditions may not acc…