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20172023
most citedWave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

75 citations · 93 across the 6 of their papers we have counts for

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cs.LG2017

Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction

Daniel Stoller, Sebastian Ewert, Simon Dixon

The state of the art in music source separation employs neural networks trained in a supervised fashion on multi-track databases to estimate the sources from a given mixture. With…