End-to-end Music Remastering System Using Self-supervised and Adversarial Training

17 February 2022

Papers citing "End-to-end Music Remastering System Using Self-supervised and Adversarial Training"

11 / 11 papers shown

Title
Model and Deep learning based Dynamic Range Compression Inversion Haoran Sun Dominique Fourer Hichem Maaref 16 0 0 07 Nov 2024
ST-ITO: Controlling Audio Effects for Style Transfer with Inference-Time Optimization C. Steinmetz Shubhr Singh Marco Comunità Ilias Ibnyahya Shanxin Yuan Emmanouil Benetos Joshua Reiss 18 6 0 28 Oct 2024
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers Junghyun Koo G. Wichern François G. Germain Sameer Khurana Jonathan Le Roux 26 3 0 02 Apr 2024
Blind estimation of audio effects using an auto-encoder approach and differentiable digital signal processing Come Peladeau Geoffroy Peeters 27 5 0 18 Oct 2023
The Ethical Implications of Generative Audio Models: A Systematic Literature Review J. Barnett 14 25 0 07 Jul 2023
Blind Estimation of Audio Processing Graph Sungho Lee Jaehyung Park Seungryeol Paik Kyogu Lee 13 8 0 15 Mar 2023
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects Junghyun Koo Marco A. Martínez Ramírez Wei-Hsiang Liao Stefan Uhlich Kyogu Lee Yuki Mitsufuji 32 17 0 04 Nov 2022
Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning Minju Park Kyogu Lee 10 14 0 28 Jul 2022
Automatic multitrack mixing with a differentiable mixing console of neural audio effects C. Steinmetz Jordi Pons Santiago Pascual Joan Serra 55 49 0 20 Oct 2020
DDSP: Differentiable Digital Signal Processing Jesse Engel Lamtharn Hantrakul Chenjie Gu Adam Roberts DiffM 83 371 0 14 Jan 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 101 588 0 08 Jun 2018