End-To-End Music Remastering System Using Self-Supervised And Adversarial Training

Author:

Koo Junghyun1,Paik Seungryeol1,Lee Kyogu1

Affiliation:

1. Music and Audio Research Group,Department of Intelligence and Information

Publisher

IEEE

Reference27 articles.

1. Automatic Multitrack Mixing With A Differentiable Mixing Console Of Neural Audio Effects

2. Active crossover networks for noncoincident drivers;linkwitz;Journal of the Audio Engineering Society,1976

3. A simple framework for contrastive learning of visual representations;chen;2020 International Conference on Machine Learning,0

4. Contrastive learning of musical representations;spijkervet;arXiv preprint arXiv 2103 05767,2021

5. Deep Residual Learning for Image Recognition

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1. Blind Estimation of Audio Effects Using an Auto-Encoder Approach and Differentiable Digital Signal Processing;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. The Ethical Implications of Generative Audio Models: A Systematic Literature Review;Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society;2023-08-08

3. Blind Estimation of Audio Processing Graph;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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