Impact of coding noise on the convergence of blind source separation

Conference contribution


Publication Details

Author(s): Meier S, Kellermann W
Publisher: VDE
Publication year: 2014
Pages range: 1-4
ISBN: 978-3-8007-3640-9
Language: English


Abstract

In networks consisting of distributed microphones, signals from several
spatially distant microphones are exploited for multichannel signal
processing. This requires transmission of at least one microphone signal
to another network node. In this paper, the effect of a predictive
source coding scheme on the TRINICON-based Blind Source Separation (BSS)
algorithm is evaluated. First, the propagation of the quantization
noise into the separated output signals is analyzed and verified
experimentally. Moreover, the effect of coding on the convergence of the
algorithm itself is evaluated. For the experimental part of the
analysis, the application of BSS in a binaural hearing aid scenario is
considered. BSS proves to be very robust against small coding word
lengths and exhibits a minor sensitivity on noise shaping.


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. (2014). Impact of coding noise on the convergence of blind source separation. In Proceedings of the 11. ITG Conference on Speech Communication (pp. 1-4). Erlangen, DE: VDE.

MLA:
Meier, Stefan, and Walter Kellermann. "Impact of coding noise on the convergence of blind source separation." Proceedings of the 11. ITG Conference on Speech Communication, Erlangen VDE, 2014. 1-4.

BibTeX: 

Last updated on 2019-20-04 at 18:23