Its main feature is to use kernel models for locally describing the spectrograms of the sources. Such kernels can capture source features such as repetitivity, ...

Feb 10, 2015 · ABSTRACT. Recently, Kernel Additive Modelling (KAM) was proposed as a unified framework to achieve multichannel audio source separation.

ABSTRACT. Recently, Kernel Additive Modelling (KAM) was proposed as a unified framework to achieve multichannel audio source separation.

This paper proposes a multichannel source separation approach where the GSSM is combined with the source spatial covariance model within a unified Gaussian ...

Oct 22, 2015 · Recently, Kernel Additive Modelling (KAM) was proposed as a unified framework to achieve multichannel audio source separation.

Apr 22, 2015 · Combining all those local models together! Example: voice/music separation. Musical background. 5 sources repeating at different scales (beat, ...

Scalable audio separation with light kernel additive modelling. A Liutkus, D Fitzgerald, Z Rafii. 2015 IEEE International Conference on Acoustics, Speech and ...

Jun 29, 2017 · ABSTRACT. This paper deals with the problem of audio source separation. To handle the complex and ill-posed nature of the problems of audio.

We use the Wave-U-Net, an adaptation of the U-Net architecture to the one-dimensional time domain to perform end-to-end audio source separation. Through a ...

In this study, we introduce a new framework called Kernel Additive Modelling for audio spectrograms that can be used for multichannel source separation.