A GPU-accelerated real-time implementation of TRINICON-BSS for multiple separation units

Conference contribution


Publication Details

Author(s): Anderson C, Meier S, Kellermann W, Teal PD, Poletti MA
Publishing place: Nancy, France
Publication year: 2014
Pages range: 102-106
ISBN: 978-1-4799-3109-5
Language: English


Abstract

In this demonstration, a GPU-accelerated implementation of the
second-order statistics version of the TRINICON (Triple-N independent
component analysis for convolutive mixtures) blind source separation
(BSS) algorithm is presented. The single-precision arithmetic separation
performance is compared with a double-precision CPU (Central Processing
Unit) reference implementation to establish the effect of parallel
algorithms and the reduction of floating-point precision. Computational
performance results are presented for a single 2-channel separation unit
and multiple simultaneous 2-channel separation units to study the
potential future use in a sensor array network with multiple 2-channel
separation units.


FAU Authors / FAU Editors

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


External institutions
Victoria University of Wellington


How to cite

APA:
Anderson, C., Meier, S., Kellermann, W., Teal, P.D., & Poletti, M.A. (2014). A GPU-accelerated real-time implementation of TRINICON-BSS for multiple separation units. In Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA) (pp. 102-106). Nancy, FR: Nancy, France.

MLA:
Anderson, Craig, et al. "A GPU-accelerated real-time implementation of TRINICON-BSS for multiple separation units." Proceedings of the Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), Nancy Nancy, France, 2014. 102-106.

BibTeX: 

Last updated on 2019-03-06 at 07:10