1 citations · 1 across the 3 of their papers we have counts for
3 papers
IS : Generic Impulsive--Stationary Sound Separation in Acoustic Scenes using Deep Filtering
Clémentine Berger, Paraskevas Stamatiadis, Roland Badeau +1
We are interested in audio systems capable of performing a differentiated processing of stationary backgrounds and isolated acoustic events within an acoustic scene, whether for ap…
Perceptual Noise-Masking with Music through Deep Spectral Envelope Shaping
Clémentine Berger, Roland Badeau, Slim Essid
People often listen to music in noisy environments, seeking to isolate themselves from ambient sounds. Indeed, a music signal can mask some of the noise's frequency components due…
Unsupervised Music Source Separation Using Differentiable Parametric Source Models
Kilian Schulze-Forster, Gaël Richard, Liam Kelley +2
Supervised deep learning approaches to underdetermined audio source separation achieve state-of-the-art performance but require a dataset of mixtures along with their corresponding…