Hybrid Transformers for Music Source Separation

A natural question arising in Music Source Separation (MSS) is whether long range contextual information is useful, or whether local acoustic features are sufficient. In other fields, attention based Transformers [1] have shown their ability to integrate information over long sequences. In this work...

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Bibliographic Details

Published in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
Main Authors:	Rouard, Simon, Massa, Francisco, Defossez, Alexandre
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04.06.2023
Subjects:	Acoustics Multiple signal classification Music Source Separation Source separation Speech processing Training Training data Transformers
ISSN:	2379-190X
Online Access:	Get full text
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