4 papers · 1 filter
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…
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…