Abstract. In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sensor setup. Since the assumed linear support of the ordinary Laplacian distribution is not valid to model angular quantities, such as the Direction of Arrival to the set of sensors, the authors investigate the performance of a Mixture of Warped Laplacians to perform efficient source separation with promising results.
We present a novel method for blind separation of any num-ber of sources using only two mixtures. Th...
In this work we present a new scenario of analyzing and separating linear mixtures of musical instru...
Real blind source separation scenarios are rarely “square ” (have equal number of sources as the num...
Abstract The problem of underdetermined audio source separation has been ex-plored in the literature...
The proposed Generalised Directional Laplacian Distribution (DLD) is a hybrid be-tween the Laplacian...
In this letter, the authors explore the use of Laplacian Mixture Models (LMMs) to address the overco...
Directional or Circular statistics are pertaining to the analysis and interpretation of directions o...
International audienceThis paper considers the blind separation of nonstationary sources in the unde...
We consider the separation of sources when only one movable sensor is available to record a set of m...
Abstract—Acoustic vector sensor (AVS) based convolutive blind source separation problem has been rec...
Acoustic vector sensor (AVS) based convolutive blind source separation problem has been recently add...
This paper considers the blind separation of audio sources in the underdetermined case, where we hav...
International audienceThis paper considers the blind separation of nonsta-tionary sources in the und...
This work studies the problem of simultaneously separating and recon-structing signals from compress...
We explore the use of mixtures of Gaussians for noisy and overcomplete ICA. In particular we introdu...
We present a novel method for blind separation of any num-ber of sources using only two mixtures. Th...
In this work we present a new scenario of analyzing and separating linear mixtures of musical instru...
Real blind source separation scenarios are rarely “square ” (have equal number of sources as the num...
Abstract The problem of underdetermined audio source separation has been ex-plored in the literature...
The proposed Generalised Directional Laplacian Distribution (DLD) is a hybrid be-tween the Laplacian...
In this letter, the authors explore the use of Laplacian Mixture Models (LMMs) to address the overco...
Directional or Circular statistics are pertaining to the analysis and interpretation of directions o...
International audienceThis paper considers the blind separation of nonstationary sources in the unde...
We consider the separation of sources when only one movable sensor is available to record a set of m...
Abstract—Acoustic vector sensor (AVS) based convolutive blind source separation problem has been rec...
Acoustic vector sensor (AVS) based convolutive blind source separation problem has been recently add...
This paper considers the blind separation of audio sources in the underdetermined case, where we hav...
International audienceThis paper considers the blind separation of nonsta-tionary sources in the und...
This work studies the problem of simultaneously separating and recon-structing signals from compress...
We explore the use of mixtures of Gaussians for noisy and overcomplete ICA. In particular we introdu...
We present a novel method for blind separation of any num-ber of sources using only two mixtures. Th...
In this work we present a new scenario of analyzing and separating linear mixtures of musical instru...
Real blind source separation scenarios are rarely “square ” (have equal number of sources as the num...