Blind and spatially-regularized online joint optimization of source separation, dereverberation, and noise reduction

T Ueda, T Nakatani, R Ikeshita… - … on Audio, Speech …, 2024‏ - ieeexplore.ieee.org
This paper proposes a computationally efficient joint optimization algorithm that performs
online source separation, dereverberation, and noise reduction based on blind and spatially …

Independent vector analysis: Model, applications, challenges

Z Luo - Pattern Recognition, 2023‏ - Elsevier
This paper overviews an appealing unsupervised learning method named independent
vector analysis (IVA) for its promising applications, such as in audio/speech signal …

Independent vector extraction for fast joint blind source separation and dereverberation

R Ikeshita, T Nakatani - IEEE Signal Processing Letters, 2021‏ - ieeexplore.ieee.org
We address a blind source separation (BSS) problem in a noisy reverberant environment in
which the number of microphones M is greater than the number of sources of interest, and …

Block coordinate descent algorithms for auxiliary-function-based independent vector extraction

R Ikeshita, T Nakatani, S Araki - IEEE Transactions on Signal …, 2021‏ - ieeexplore.ieee.org
In this paper, we address the problem of extracting all super-Gaussian source signals from a
linear mixture in which (i) the number of super-Gaussian sources K is less than that of …

Geometrically-Regularized Fast Independent Vector Extraction by Pure Majorization-Minimization

R Ikeshita, T Nakatani - IEEE Transactions on Signal …, 2024‏ - ieeexplore.ieee.org
We propose computationally efficient algorithms for extracting a single source of interest
(SOI) using geometrically-regularized independent vector extraction (GR-IVE). Conventional …

Frequency-domain convolutive bounded component analysis algorithm for the blind separation of dependent sources

X Luo, Z Zhang, T Gong - IEEE Transactions on Instrumentation …, 2023‏ - ieeexplore.ieee.org
Aiming at the problem of dependent source separation in complex mechanical systems, the
highly universal frequency-domain convolutive bounded component analysis (FDCBCA) …

Independent vector analysis via log-quadratically penalized quadratic minimization

R Scheibler - IEEE Transactions on Signal Processing, 2021‏ - ieeexplore.ieee.org
We propose a new algorithm for blind source separation (BSS) using independent vector
analysis (IVA). This is an improvement over the popular auxiliary function based IVA …

Computationally-efficient overdetermined blind source separation based on iterative source steering

Y Du, R Scheibler, M Togami, K Yoshii… - IEEE Signal …, 2021‏ - ieeexplore.ieee.org
This paper describesa computationally-efficient optimization algorithm for the blind source
separation (BSS) of overdetermined mixtures. In the determined case, a matrix-inversion …

ISS2: An extension of iterative source steering algorithm for majorization-minimization-based independent vector analysis

R Ikeshita, T Nakatani - 2022 30th European Signal Processing …, 2022‏ - ieeexplore.ieee.org
A majorization-minimization (MM) algorithm for independent vector analysis optimizes a
separation matrix W:=w_1,...,m^H∈C^m*m by minimizing a surrogate function of the form …

Over-determined speech source separation and dereverberation

M Togami, R Scheibler - 2020 Asia-Pacific Signal and …, 2020‏ - ieeexplore.ieee.org
In this paper, we propose a joint speech source separation and dereverberation technique
which works well when the number of microphones is more than the number of speech …