With the advent of the era of big data information, artificial intelligence (AI) methods have
become extremely promising and attractive. It has become extremely important to extract …

This paper proposes a computationally efficient joint optimization algorithm that performs
online source separation, dereverberation, and noise reduction based on blind and spatially …

This paper develops a framework that can accurately perform denoising, dereverberation,
and source separation using a relatively small number of microphones. It has been …

This article describes a computationally-efficient statistical approach to joint (semi-) blind
source separation and dereverberation for multichannel noisy reverberant mixture signals. A …

This manuscript proposes a novel robust procedure for the extraction of a speaker of interest
(SOI) from a mixture of audio sources. The estimation of the SOI is performed via …

In this paper, we propose a new online independent vector analysis (IVA) algorithm for real-
time blind source separation (BSS). In many BSS algorithms, the iterative projection (IP) has …

Source extraction, which aims at extracting the target source signals from the observed
reverberant mixtures, plays an important role in voice communication and human-machine …

Speech signals recorded by distant microphones are often contaminated with room
reverberation and signals of interfering speakers. This article addresses the problem of joint …

In order to improve both the separation performance and the convergence speed, several
geometrically constrained independent vector analysis (GC-IVA) algorithms have been …

In this paper, we derive an alternative online algorithm for geometrically constrained
independent vector analysis (GC-IVA) based on iterative source steering (ISS) to tackle real …