Institute of Information Theory and Automation

You are here

Bibliography

Journal Article

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

Koldovský Z., Kautský V., Tichavský Petr

: IEEE Transactions on Signal Processing vol.70, 1 (2022), p. 5102-5116

: GA20-17720S, GA ČR

: blind source extraction, non-stationarity, speech processing

: 10.1109/TSP.2022.3216106

: http://library.utia.cas.cz/separaty/2022/SI/tichavsky-0563805.pdf

: https://ieeexplore.ieee.org/document/9927365

(eng): 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. This model allows for a moving source-of-interest (SOI) whose distribution on short intervals can be (non-)circular (non-)Gaussian. A particular Gaussian source model assuming tridiagonal covariance matrix structures is proposed. It is shown to be beneficial in the frequency-domain speaker extraction problem. The algorithms are verified in simulations. In comparison to the state-of-the-art algorithms, they show superior performance in terms of convergence speed and extraction accuracy.

: BB

: 20201

2019-01-07 08:39