An adaptive microphone array topology for target signal extraction with humanoid robots

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Barfuß H, Kellermann W
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2014
Pages range: 16-20
ISBN: 978-1-4799-6808-4
Language: English


Abstract


In this paper, an unsupervised adaptation algorithm for the microphone array topology of a humanoid robot is proposed, so that the spatial filtering performance is improved. In the given exemplary case, the target suppression ('blocking') performance of a geometrically-constrained BSS (GC-BSS) algorithm is shown to improve by the adaptation of the array topology. As a decisive feature, an online performance measure for blind source separation is introduced which provides a robust and reliable estimate of the instantaneous signal separation performance based on currently observable data. Experimental results based on simulated environments confirm the efficacy of the concept.


FAU Authors / FAU Editors

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


How to cite

APA:
Barfuß, H., & Kellermann, W. (2014). An adaptive microphone array topology for target signal extraction with humanoid robots. (pp. 16-20). Antibes - Juan les Pins, FR: Institute of Electrical and Electronics Engineers Inc..

MLA:
Barfuß, Hendrik, and Walter Kellermann. "An adaptive microphone array topology for target signal extraction with humanoid robots." Proceedings of the International Workshop on Acoustic Signal Enhancement (IWAENC), Antibes - Juan les Pins Institute of Electrical and Electronics Engineers Inc., 2014. 16-20.

BibTeX: 

Last updated on 2018-03-12 at 20:53