4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.SD2022★ 1 cited
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…
cs.SD2019★ 4 cited
Interleaved Multitask Learning for Audio Source Separation with Independent Databases
Clement S. J. Doire, Olumide Okubadejo
Deep Neural Network-based source separation methods usually train independent models to optimize for the separation of individual sources. Although this can lead to good performanc…