3 papers
cs.SD2025
NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects
Marco ComunitÃ, Christian J. Steinmetz, Joshua D. Reiss
We present NablAFx, an open-source framework developed to support research in differentiable black-box and gray-box modeling of audio effects. Built in PyTorch, NablAFx offers a ve…
cs.SD2025
Differentiable Black-box and Gray-box Modeling of Nonlinear Audio Effects
Marco ComunitÃ, Christian J. Steinmetz, Joshua D. Reiss
Audio effects are extensively used at every stage of audio and music content creation. The majority of differentiable audio effects modeling approaches fall into the black-box or g…
cs.SD2024
ST-ITO: Controlling Audio Effects for Style Transfer with Inference-Time Optimization
Christian J. Steinmetz, Shubhr Singh, Marco Comunità +4
Audio production style transfer is the task of processing an input to impart stylistic elements from a reference recording. Existing approaches often train a neural network to esti…