Audio source separation consists in recovering different unknown signals called sources by
filtering their observed mixtures. In music processing, most mixtures are stereophonic songs …

An audio indexing system aims at describing audio content by identifying, labeling, or
categorizing different acoustic events. Since the resulting audio classification and indexing …

Recently, Kernel Additive Modelling (KAM) was proposed as a unified framework to achieve
multichannel audio source separation. Its main feature is to use kernel models for locally …

For audio source separation applications, it is common to estimate the magnitude of the
short-time Fourier transform (STFT) of each source. In order to further synthesize time …

We consider the informed source separation (ISS) problem where, given the sources and
the mixtures, any kind of side-information can be computed during a so-called encoding …

Audio inpainting and audio declip** are important problems in audio signal processing,
which are encountered in various practical applications. A number of approaches has been …

Informed source separation (ISS) aims at reliably recovering sources from a mixture. To this
purpose, it relies on the assumption that the original sources are available during an …

In support of art investigation, we propose a new source separation method that unmixes a
single X-ray scan acquired from double-sided paintings. In this problem, the X-ray signals to …

This paper proposes a blind source separation (BSS) method for recovering multiple speech
sources from sound fields recorded by a B-format microphone. This microphone provides a …

Preserving audio scenes in the form of audio objects has become common in recent years.
Object-based audio techniques provide more flexibility for personalized rendering as well as …