3 citations · 3 across the 6 of their papers we have counts for
9 papers
Low Latency Time Domain Multichannel Speech and Music Source Separation
Gerald Schuller
The Goal is to obtain a simple multichannel source separation with very low latency. Applications can be teleconferencing, hearing aids, augmented reality, or selective active nois…
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller
In this work we present a method for unsupervised learning of audio representations, focused on the task of singing voice separation. We build upon a previously proposed method for…
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…
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Estefanía Cano +1
The goal of this work is to investigate what singing voice separation approaches based on neural networks learn from the data. We examine the mapping functions of neural networks b…
Close Miking Empirical Practice Verification: A Source Separation Approach
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Andreas Floros +2
Close miking represents a widely employed practice of placing a microphone very near to the sound source in order to capture more direct sound and minimize any pickup of ambient so…
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk +3
Monaural singing voice separation task focuses on the prediction of the singing voice from a single channel music mixture signal. Current state of the art (SOTA) results in monaura…