Analysis of the performance and limitations of ICA-based relative impulse response identification

Conference contribution


Publication Details

Author(s): Meier S, Kellermann W
Publication year: 2015
Pages range: 414-418
ISBN: 978-0-9928626-3-3
ISSN: 2076-1465
Language: English


Abstract

Estimating impulse responses for a single source is a crucial problem
for many applications in audio signal processing, such as source
extraction. Since absolute impulse responses are hard to identify,
relative impulse responses or, equivalently, relative transfer functions
are identified instead. Independent Component Analysis (ICA) for
convolutivemixtures offers the possibility to determine relative impulse
responses implicitly by separating the target source from interfering
sources. In this paper, fundamental limitations of relative transfer
function (RTF) estimation are analyzed by calculating least-squares
(LS)-optimal estimates in adverse scenarios, where the influence of
scatterers and reverberation on the performance must be accounted for.
Hereupon, ICA-based RTF estimation in the TRINICON framework is compared
with the LS-optimal estimates.


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Meier, Stefan
Professur für Nachrichtentechnik


How to cite

APA:
Meier, S., & Kellermann, W. (2015). Analysis of the performance and limitations of ICA-based relative impulse response identification. In Proceedings of the 23rd European Signal Processing Conference (EUSIPCO) (pp. 414-418). Nice, FR.

MLA:
Meier, Stefan, and Walter Kellermann. "Analysis of the performance and limitations of ICA-based relative impulse response identification." Proceedings of the 23rd European Signal Processing Conference (EUSIPCO), Nice 2015. 414-418.

BibTeX: 

Last updated on 2019-19-04 at 14:08