754 citations · 3.2k across the 112 of their papers we have counts for
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cs.SD2015
Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network
Andrew J. R Simpson, Gerard Roma, Mark D. Plumbley
Audio source separation is a difficult machine learning problem and performance is measured by comparing extracted signals with the component source signals. However, if separation…
cs.SD2015★ 15 cited
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network
Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
Identification and extraction of singing voice from within musical mixtures is a key challenge in source separation and machine audition. Recently, deep neural networks (DNN) have…