Search Results for author: Zbyněk Koldovský

Found 8 papers, 2 papers with code

Informed FastICA: Semi-Blind Minimum Variance Distortionless Beamformer

1 code implementation12 Jul 2024 Zbyněk Koldovský, Jiří Málek, Jaroslav Čmejla, Stephen O'Regan

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-Raphson algorithm under the orthogonality constraint.

Comparison of Frequency-Fusion Mechanisms for Binaural Direction-of-Arrival Estimation for Multiple Speakers

no code implementations15 Jan 2024 Daniel Fejgin, Elior Hadad, Sharon Gannot, Zbyněk Koldovský, Simon Doclo

According to how the SPS are combined, frequency fusion mechanisms are categorized into narrowband, broadband, or speaker-grouped, where the latter mechanism requires a speaker-wise grouping of frequencies.

Direction of Arrival Estimation

Independent Vector Extraction Constrained on Manifold of Half-Length Filters

no code implementations4 Apr 2023 Zbyněk Koldovský, Jaroslav Čmejla, Tülay Adalı, Stephen O'Regan

In this paper, we propose a mixing model for joint blind source extraction where the mixing model parameters are linked across the frequencies.

Speaker Separation

Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction

1 code implementation13 May 2022 Thomas Haubner, Zbyněk Koldovský, Walter Kellermann

We describe a joint acoustic echo cancellation (AEC) and blind source extraction (BSE) approach for multi-microphone acoustic frontends.

Acoustic echo cancellation

Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures -- Algorithms

no code implementations11 Apr 2022 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 of which stands for a new extension of the well-known FastICA.

Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers

no code implementations22 Jul 2020 Zbyněk Koldovský, Václav Kautský, Petr Tichavský

The algorithms are derived within a unified framework so that they are applicable in the real-valued as well as complex-valued domains, and jointly to several mixtures, similar to Independent Vector Analysis.

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