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Found 2 papers, 1 papers with code
Voice and accompaniment separation in music using self-attention convolutional neural network
First, a convolutional neural network (CNN) with densely-connected CNN blocks is built as our base network.
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Simultaneous grouping is first performed in each time frame by separating the spectra of different speakers with a permutation-invariantly trained neural network.
Ranked #21 on
Speech Separation
on WSJ0-2mix
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