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Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint
  Optimization
v1v2 (latest)

Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
28 July 2021
Haici Yang
Shivani Firodiya
Nicholas J. Bryan
Minje Kim
ArXiv (abs)PDFHTMLGithub

Papers citing "Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization"

5 / 5 papers shown
Learning to Highlight Audio by Watching Movies
Learning to Highlight Audio by Watching MoviesComputer Vision and Pattern Recognition (CVPR), 2025
Chao Huang
Ruohan Gao
J. M. F. Tsang
Jan Kurcius
Cagdas Bilen
Chenliang Xu
Anurag Kumar
Sanjeel Parekh
VGen
370
5
0
17 May 2025
Prevailing Research Areas for Music AI in the Era of Foundation Models
Prevailing Research Areas for Music AI in the Era of Foundation Models
Megan Wei
M. Modrzejewski
Aswin Sivaraman
Dorien Herremans
MedIm
582
3
0
14 Sep 2024
General Purpose Audio Effect Removal
General Purpose Audio Effect RemovalIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
Matthew Rice
C. Steinmetz
Georgy Fazekas
Joshua D. Reiss
272
17
0
30 Aug 2023
InstructME: An Instruction Guided Music Edit And Remix Framework with
  Latent Diffusion Models
InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models
Bing Han
Junyu Dai
Weituo Hao
Xinyan He
Dong Guo
Jitong Chen
Yuxuan Wang
Y. Qian
Xuchen Song
DiffM
346
24
0
28 Aug 2023
Tackling the Cocktail Fork Problem for Separation and Transcription of
  Real-World Soundtracks
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World SoundtracksIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Darius Petermann
Gordon Wichern
Aswin Shanmugam Subramanian
Zhong-Qiu Wang
Jonathan Le Roux
208
13
0
14 Dec 2022
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