1 citations · 1 across the 3 of their papers we have counts for
3 papers
Stable Audio Open
Zach Evans, Julian D. Parker, CJ Carr +3
Open generative models are vitally important for the community, allowing for fine-tunes and serving as baselines when presenting new models. However, most current text-to-audio mod…
StemGen: A music generation model that listens
Julian D. Parker, Janne Spijkervet, Katerina Kosta +6
End-to-end generation of musical audio using deep learning techniques has seen an explosion of activity recently. However, most models concentrate on generating fully mixed music i…
Differentiable Allpass Filters for Phase Response Estimation and Automatic Signal Alignment
Anders R. Bargum, Stefania Serafin, Cumhur Erkut +1
Virtual analog (VA) audio effects are increasingly based on neural networks and deep learning frameworks. Due to the underlying black-box methodology, a successful model will learn…