3 papers
eess.SP2024
Model-Based Deep Learning for Music Information Research
Gael Richard, Vincent Lostanlen, Yi-Hsuan Yang +1
In this article, we investigate the notion of model-based deep learning in the realm of music information research (MIR). Loosely speaking, we refer to the term model-based deep le…
cs.SD2024
Learning to Solve Inverse Problems for Perceptual Sound Matching
Han Han, Vincent Lostanlen, Mathieu Lagrange
Perceptual sound matching (PSM) aims to find the input parameters to a synthesizer so as to best imitate an audio target. Deep learning for PSM optimizes a neural network to analyz…
cs.LG2024
Instabilities in Convnets for Raw Audio
Daniel Haider, Vincent Lostanlen, Martin Ehler +1
What makes waveform-based deep learning so hard? Despite numerous attempts at training convolutional neural networks (convnets) for filterbank design, they often fail to outperform…