A survey of optimization methods for independent vector analysis in audio source separation
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 …
become extremely promising and attractive. It has become extremely important to extract …
Independent vector analysis: Model, applications, challenges
This paper overviews an appealing unsupervised learning method named independent
vector analysis (IVA) for its promising applications, such as in audio/speech signal …
vector analysis (IVA) for its promising applications, such as in audio/speech signal …
On semi-blind source separation-based approaches to nonlinear echo cancellation based on bilinear alternating optimization
Acoustic echo cancellation (AEC) is a crucial task in full duplex communications. As
conventional linear filtering approaches are ineffective to deal with double-talk, various semi …
conventional linear filtering approaches are ineffective to deal with double-talk, various semi …
A unifying view on blind source separation of convolutive mixtures based on independent component analysis
In many daily-life scenarios, acoustic sources recorded in an enclosure can only be
observed with other interfering sources. Hence, convolutive Blind Source Separation (BSS) …
observed with other interfering sources. Hence, convolutive Blind Source Separation (BSS) …
Switching independent vector analysis and its extension to blind and spatially guided convolutional beamforming algorithms
This paper develops a framework that can accurately perform denoising, dereverberation,
and source separation using a relatively small number of microphones. It has been …
and source separation using a relatively small number of microphones. It has been …
Surrogate source model learning for determined source separation
We propose to learn surrogate functions of universal speech priors for determined blind
speech separation. Deep speech priors are highly desirable due to their superior modelling …
speech separation. Deep speech priors are highly desirable due to their superior modelling …
Geometrically-Regularized Fast Independent Vector Extraction by Pure Majorization-Minimization
We propose computationally efficient algorithms for extracting a single source of interest
(SOI) using geometrically-regularized independent vector extraction (GR-IVE). Conventional …
(SOI) using geometrically-regularized independent vector extraction (GR-IVE). Conventional …
Computationally-efficient overdetermined blind source separation based on iterative source steering
This paper describesa computationally-efficient optimization algorithm for the blind source
separation (BSS) of overdetermined mixtures. In the determined case, a matrix-inversion …
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
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 …
separation matrix W:=w_1,...,m^H∈C^m*m by minimizing a surrogate function of the form …
Faster independent vector analysis with joint pairwise updates of demixing vectors
To achieve more efficient blind separation of multi-channel speech signals, this paper
proposes a new algorithm for blind source separation (BSS) of sound sources using …
proposes a new algorithm for blind source separation (BSS) of sound sources using …