BSS for improved interference estimation for blind speech signal extraction with two microphones

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Zheng Y, Reindl K, Kellermann W
Publication year: 2009
Pages range: 253-256
ISBN: 9781424451807


Abstract


Blind Source Extraction (BSE) as desirable for acoustic cocktail party scenarios requires estimates for the target or interfering signals. Conventional single-channel approaches for obtaining the interference estimate rely on noise and interference estimates during absence of the target signal. For multichannel approaches using multiple microphone signals, a separation of simultaneously active target and interference signals becomes possible if the positions of the target and interfering sources are known. We propose a new method which exploits Directional BSS (Blind Source Separation with a geometric constraint) to estimate the interfering speech sources and diffuse background noise jointly and blindly. Herewith we can effectively deal with the underdetermined BSS scenario (more point sources than sensors) in reverberant environments and can even allow for additional babble noise in the background. © 2009 IEEE.



FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Reindl, Klaus
Professur für Nachrichtentechnik
Zheng, Yuanhang
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Zheng, Y., Reindl, K., & Kellermann, W. (2009). BSS for improved interference estimation for blind speech signal extraction with two microphones. (pp. 253-256). Aruba, AN.

MLA:
Zheng, Yuanhang, Klaus Reindl, and Walter Kellermann. "BSS for improved interference estimation for blind speech signal extraction with two microphones." Proceedings of the 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009, Aruba 2009. 253-256.

BibTeX: 

Last updated on 2018-18-12 at 13:50