An adaptive microphone array topology for target signal extraction with humanoid robots
Barfuß H, Kellermann W (2014)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 16-20
Article Number: 6953315
Event location: Antibes - Juan les Pins
ISBN: 978-1-4799-6808-4
DOI: 10.1109/IWAENC.2014.6953315
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.
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How to cite
APA:
Barfuß, H., & Kellermann, W. (2014). An adaptive microphone array topology for target signal extraction with humanoid robots. In Proceedings of the International Workshop on Acoustic Signal Enhancement (IWAENC) (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.
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