A general-purpose deep learning approach to model time-varying audio
effects

A general-purpose deep learning approach to model time-varying audio effects

15 May 2019

Emmanouil Benetos

Joshua D. Reiss

Papers citing "A general-purpose deep learning approach to model time-varying audio effects"

6 / 6 papers shown

Title
Blind Estimation of Audio Processing Graph Sungho Lee Jaehyung Park Seungryeol Paik Kyogu Lee 22 9 0 15 Mar 2023
Modelling black-box audio effects with time-varying feature modulation Marco Comunità C. Steinmetz Huy Phan Joshua D. Reiss 44 14 0 01 Nov 2022
Adaptive Latent Space Tuning for Non-Stationary Distributions A. Scheinker F. Cropp S. Paiagua D. Filippetto OOD 15 3 0 08 May 2021
Lightweight and interpretable neural modeling of an audio distortion effect using hyperconditioned differentiable biquads S. Nercessian Andy M. Sarroff K. Werner 17 28 0 15 Mar 2021
Efficient neural networks for real-time modeling of analog dynamic range compression C. Steinmetz Joshua D. Reiss 57 27 0 11 Feb 2021
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 588 0 08 Jun 2018