Joint Acoustic Echo Cancellation And Blind Source Extraction Based On Independent Vector Extraction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00009867" target="_blank" >RIV/46747885:24220/22:00009867 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9914763" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9914763</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWAENC53105.2022.9914763" target="_blank" >10.1109/IWAENC53105.2022.9914763</a>

Result language

angličtina

Original language name

Joint Acoustic Echo Cancellation And Blind Source Extraction Based On Independent Vector Extraction

Original language description

We describe a joint acoustic echo cancellation (AEC) and blind source extraction (BSE) approach for multi-microphone acoustic frontends. The proposed algorithm blindly estimates AEC and beamforming filters by maximizing the statistical independence of a non-Gaussian source of interest and a stationary Gaussian background modeling interfering signals and residual echo. Double talk-robust and fast-converging parameter updates are derived from a global maximum-likelihood objective function resulting in a computationally efficient Newton-type update rule. Evaluation with simulated acoustic data confirms the benefit of the proposed joint AEC and beamforming filter estimation in comparison to updating both filters individually.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA20-17720S" target="_blank" >GA20-17720S: Advanced Mixing Models for Blind Source Extraction</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings

ISBN

978-166546867-1

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

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Publisher name

IEEE

Place of publication

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Event location

Bamberg

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000934046400061