Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects-Reference-Cited by-同舟云学术

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Koo Junghyun¹,Martínez-Ramírez Marco A.¹,Liao Wei-Hsiang¹,Uhlich Stefan²,Lee Kyogu³,Mitsufuji Yuki¹

Affiliation:

1. Sony Group Corporation,Tokyo,Japan

2. Sony Europe B.V.,Stuttgart,Germany

3. Seoul National University,Music and Audio Research Group,Department of Intelligence and Information

Publisher

IEEE

Link

Reference24 articles.

1. Efficient neural networks for real-time modeling of analog dynamic range compression;steinmetz;Audio Engineering Society Convention 151,2022

2. Web Audio Evaluation Tool: A browser-based listening test environment;jillings;Sound and Music Computing Conference,2015

3. Understanding dimensional collapse in contrastive selfsupervised learning;jing;International Conference on Learning Representations,2022

4. Music demixing challenge 2021;mitsufuji,2021

5. DDSP: Differentiable digital signal processing;engel;International Conference on Learning Representations,2020

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2. An Intelligent Mixing System for Electric Guitar Using Fuzzy Control;Advances on P2P, Parallel, Grid, Cloud and Internet Computing;2023-10-29