1.5k citations · 5.6k across the 20 of their papers we have counts for
1 paper · 1 filter
Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki
This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic settin…