Review paper
A Skip Attention Mechanism for Monaural Singing Voice Separation
Abstract
This work proposes a simple but effective attention mechanism, namely Skip Attention (SA), for monaural singing voice separation (MSVS). First, the SA, embedded in the convolutional encoder-decoder network (CEDN), realizes an attention-driven and dependency modeling for the repetitive structures of the music source. Second, the SA, replacing the popular skip connection in the CEDN, effectively controls the flow of the low-level (vocal and...
Paper Details
Title
A Skip Attention Mechanism for Monaural Singing Voice Separation
Published Date
Oct 1, 2019
Volume
26
Issue
10
Pages
1481 - 1485
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