45 citations · 135 across the 35 of their papers we have counts for
4 papers · 2 filters
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation
Pyry Pyykkönen, Styliannos I. Mimilakis, Konstantinos Drossos +1
Recent approaches for music source separation are almost exclusively based on deep neural networks, mostly employing recurrent neural networks (RNNs). Although RNNs are in many cas…
Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning
Khoa Nguyen, Konstantinos Drossos, Tuomas Virtanen
Audio captioning is the task of automatically creating a textual description for the contents of a general audio signal. Typical audio captioning methods rely on deep neural networ…
Multichannel Singing Voice Separation by Deep Neural Network Informed DOA Constrained CNMF
Antonio J. Muñoz-Montoro, Julio J. Carabias-Orti, Archontis Politis +1
This work addresses the problem of multichannel source separation combining two powerful approaches, multichannel spectral factorization with recent monophonic deep-learning (DL) b…
Unsupervised Interpretable Representation Learning for Singing Voice Separation
Stylianos I. Mimilakis, Konstantinos Drossos, Gerald Schuller
In this work, we present a method for learning interpretable music signal representations directly from waveform signals. Our method can be trained using unsupervised objectives an…