Improving Blind Source Separation Performance By Adaptive Array Geometries For Humanoid Robots
Sound
2014-04-29 v1
Abstract
In this paper, the concept of an adaptation algorithm is proposed, which can be used to blindly adapt the microphone array geometry of a humanoid robot such that the performance of the underlying signal separation algorithm is improved. As a decisive feature, an online performance measure for blind source separation is introduced which allows a robust and reliable estimation of the instantaneous separation performance based on currently observable data. Experimental results from a simulated environment confirm the efficacy of the concept.
Cite
@article{arxiv.1404.6881,
title = {Improving Blind Source Separation Performance By Adaptive Array Geometries For Humanoid Robots},
author = {Hendrik Barfuss and Walter Kellermann},
journal= {arXiv preprint arXiv:1404.6881},
year = {2014}
}