9 citations · 11 across the 2 of their papers we have counts for
3 papers
Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes
Carlos Lordelo, Emmanouil Benetos, Simon Dixon +1
This paper proposes a deep convolutional neural network for performing note-level instrument assignment. Given a polyphonic multi-instrumental music signal along with its ground tr…
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation
Carlos Lordelo, Emmanouil Benetos, Simon Dixon +2
This paper addresses the problem of domain adaptation for the task of music source separation. Using datasets from two different domains, we compare the performance of a deep learn…
Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation
Carlos Lordelo, Emmanouil Benetos, Simon Dixon +1
In this paper we propose an efficient deep learning encoder-decoder network for performing Harmonic-Percussive Source Separation (HPSS). It is shown that we are able to greatly red…