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The Sound Demixing Challenge 2023 – Music Demixing Track

This paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX’23). We provide a summary of the challenge setup and introduce the task of robust music source separation (MSS), i.e., training MSS models in the presence of errors in the training data. We propose a formalizat...

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Principais autores: Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco Martínez-Ramírez, Weihsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada Mohanty, Roman Solovyev, Alexander Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
Formato: Artigo
Idioma:Inglês
Publicado em: Ubiquity Press 2024-04-01
coleção:Transactions of the International Society for Music Information Retrieval
Assuntos:
music source separation
deep learning
neural networks
robust training
sound
signal processing
Acesso em linha:https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/171
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