In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms.
Depending on the exact application, different distortions can be allowed between an …

Source separation is a difficult problem for which many algorithms have been proposed. In
this article, we define oracle estimators which compute the best performance achievable by …

This paper derives two spatio-temporal extensions of the well-known FastICA algorithm of
Hyvarinen and Oja that are applicable to the convolutive blind source separation task. Our …

Natural gradient adaptation is an especially convenient method for adapting the coefficients
of a linear system in inverse filtering tasks such as convolutive blind source separation and …

Blind separation of independent speech sources from their convolutive mixtures in a
reverberant acoustic environment is a difficult problem and the state-of-the-art blind source …

We propose a new Single-Input Multiple-Output (SIMO)-modelbased ICA with information-
geometric learning algorithm for highfidelity blind source separation. The SIMO-ICA consists …

The paper presents a spatio-temporal extension of the well-known fastICA algorithm of
Hyva/spl uml/rinen and Oja that is applicable to both convolutive blind source separation …

We propose a new novel two-stage blind separation and deconvolution (BSD) algorithm for
a real convolutive mixture of temporally correlated signals, in which a new Single-Input …

Nowadays, there are many efforts in building intelligent humanoid robot and adding
advanced ability such as Blind Speech Separation (BSS). BSS is a problem of separation of …

Practical gradient-based adaptive algorithms for multichannel blind deconvolution and
convolutive blind source separation typically employ FIR filters for the separation system …