2 papers
eess.AS2024
Sound Source Separation Using Latent Variational Block-Wise Disentanglement
Karim Helwani, Masahito Togami, Paris Smaragdis +1
While neural network approaches have made significant strides in resolving classical signal processing problems, it is often the case that hybrid approaches that draw insight from…
cs.SD2023
Neural Harmonium: An Interpretable Deep Structure for Nonlinear Dynamic System Identification with Application to Audio Processing
Karim Helwani, Erfan Soltanmohammadi, Michael M. Goodwin
Improving the interpretability of deep neural networks has recently gained increased attention, especially when the power of deep learning is leveraged to solve problems in physics…