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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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Rouard, Simon, Massa, Francisco, Defossez, Alexandre
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 04.06.2023
Predmet:	Acoustics Multiple signal classification Music Source Separation Source separation Speech processing Training Training data Transformers
ISSN:	2379-190X
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