Underdetermined source separation for colored sources

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Winter S, Kellermann W, Sawada H, Makino S
Publication year: 2006
ISSN: 22195491
Language: English


Abstract


This contribution focuses on the source separation stage as important part of underdetermined blind source separation (BSS). So far nearly all approaches for underdetermined BSS assume independently, identically distributed (i.i.d.) sources. They completely ignore the redundancy that is in the temporal structure of colored sources like speech signals. Instead, we propose multivariate models based on the multivariate Student's t or multivariate Gaussian distribution and investigate their potential for underdetermined BSS. We provide a simple yet effective filter based on the sources' autocorrelations for recovering the sources as basis for further advances in underdetermined BSS. The challenge is estimating the filter coefficients blindly. The experimental results support the idea that source separation for underdetermined BSS can be reduced to the separation of their autocorrelations.


FAU Authors / FAU Editors

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


How to cite

APA:
Winter, S., Kellermann, W., Sawada, H., & Makino, S. (2006). Underdetermined source separation for colored sources. In Proceedings of the 14th European Signal Processing Conference, EUSIPCO 2006. Florence, IT.

MLA:
Winter, Stefan, et al. "Underdetermined source separation for colored sources." Proceedings of the 14th European Signal Processing Conference, EUSIPCO 2006, Florence 2006.

BibTeX: 

Last updated on 2019-02-06 at 18:08