Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …

Full-rank spatial covariance analysis (FCA) is a technique for blind source separation (BSS),
and can be applied to underdetermined situations where the sources outnumber the …

Speech signals observed from distantly placed microphones may have some acoustic
interference, such as noise and reverberation. These may lead to the degradation of the …

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

Overlapping speech and high room reverberation deteriorate the accuracy of automatic
speech recognition (ASR). This paper proposes a method for jointly optimum source …

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

This article proposes a hybrid reverberation model by integrating two conventional models,
namely, the multichannel linear prediction (MCLP) model and the spatial coherence model …

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 …

Most frequency-domain blind source separation (BSS) methods are based on the
multiplicative narrowband assumption, which is not valid in long reverberation …

Multichannel source separation has been a popular topic, and recently proposed methods
based on the local Gaussian model have provided promising results despite its high …