89 citations · 267 across the 14 of their papers we have counts for
15 papers
Robust Online Overdetermined Independent Vector Analysis Based on Bilinear Decomposition
Kang Chen, Xianrui Wang, Yichen Yang +6
Online blind source separation is essential for both speech communication and human-machine interaction. Among existing approaches, overdetermined independent vector analysis (Over…
Blind Capon Beamformer Based on Independent Component Extraction: Single-Parameter Algorithm,
Zbyněk Koldovský, Jaroslav Čmejla, Stephen O'Regan
We consider a phase-shift mixing model for linear sensor arrays in the context of blind source extraction. We derive a blind Capon beamformer that seeks the direction where the out…
Informed FastICA: Semi-Blind Minimum Variance Distortionless Beamformer
Zbyněk Koldovský, Jiří Málek, Jaroslav Čmejla +1
Non-Gaussianity-based Independent Vector Extraction leads to the famous one-unit FastICA/FastIVA algorithm when the likelihood function is optimized using an approximate Newton-Rap…
Comparison of Frequency-Fusion Mechanisms for Binaural Direction-of-Arrival Estimation for Multiple Speakers
Daniel Fejgin, Elior Hadad, Sharon Gannot +2
To estimate the direction of arrival (DOA) of multiple speakers with methods that use prototype transfer functions, frequency-dependent spatial spectra (SPS) are usually constructe…
Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures -- Algorithms
Zbyněk Koldovský, Václav Kautský, Petr Tichavský
In this article, nonstationary mixing and source models are combined for developing new fast and accurate algorithms for Independent Component or Vector Extraction (ICE/IVE), one o…
Target Speech Extraction: Independent Vector Extraction Guided by Supervised Speaker Identification
Jiri Malek, Jakub Jansky, Zbynek Koldovsky +3
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 inde…
Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers
Zbyněk Koldovský, Václav Kautský, Petr Tichavský
A novel extension of Independent Component and Independent Vector Analysis for blind extraction/separation of one or several sources from time-varying mixtures is proposed. The mix…
Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors
Jakub Janský, Jiří Málek, Jaroslav Čmejla +3
We propose a novel algorithm for adaptive blind audio source extraction. The proposed method is based on independent vector analysis and utilizes the auxiliary function optimizatio…
MIRaGe: Multichannel Database Of Room Impulse Responses Measured On High-Resolution Cube-Shaped Grid In Multiple Acoustic Conditions
Jaroslav Čmejla, Tomáš Kounovský, Sharon Gannot +2
We introduce a database of multi-channel recordings performed in an acoustic lab with adjustable reverberation time. The recordings provide information about room impulse responses…
Cramér-Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models
Václav Kautský, Zbyněk Koldovský, Petr Tichavský +1
This paper presents Cramér-Rao Lower Bound (CRLB) for the complex-valued Blind Source Extraction (BSE) problem based on the assumption that the target signal is independent of the…
Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates
Jiri Malek, Zbynek Koldovsky, Marek Bohac
This work addresses the problem of block-online processing for multi-channel speech enhancement. Such processing is vital in scenarios with moving speakers and/or when very short u…
Gradient Algorithms for Complex Non-Gaussian Independent Component/Vector Extraction, Question of Convergence
Zbyněk Koldovský, Petr Tichavský
We revise the problem of extracting one independent component from an instantaneous linear mixture of signals. The mixing matrix is parameterized by two vectors, one column of the…
Performance Analysis of Source Image Estimators in Blind Source Separation
Zbyněk Koldovský, Francesco Nesta
Blind methods often separate or identify signals or signal subspaces up to an unknown scaling factor. Sometimes it is necessary to cope with the scaling ambiguity, which can be don…
Spatial Source Subtraction Based on Incomplete Measurements of Relative Transfer Function
Zbynek Koldovsky, Jiri Malek, Sharon Gannot
Relative impulse responses between microphones are usually long and dense due to the reverberant acoustic environment. Estimating them from short and noisy recordings poses a long-…
Cramer-Rao-Induced Bounds for CANDECOMP/PARAFAC tensor decomposition
Petr Tichavsky, Anh Huy Phan, Zbynek Koldovsky
This paper presents a Cramer-Rao lower bound (CRLB) on the variance of unbiased estimates of factor matrices in Canonical Polyadic (CP) or CANDECOMP/PARAFAC (CP) decompositions of…