4 citations · 8 across the 2 of their papers we have counts for
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cs.LG2021★ 4 cited
Energy Consumption of Deep Generative Audio Models
Constance Douwes, Philippe Esling, Jean-Pierre Briot
In most scientific domains, the deep learning community has largely focused on the quality of deep generative models, resulting in highly accurate and successful solutions. However…
cs.LG2020★ 4 cited
Diet deep generative audio models with structured lottery
Philippe Esling, Ninon Devis, Adrien Bitton +3
Deep learning models have provided extremely successful solutions in most audio application fields. However, the high accuracy of these models comes at the expense of a tremendous…