NOISE POWER ESTIMATION USING RAPID ADAPTATION AND RECURSIVE SMOOTHING PRINCIPLES

François Xavier Nsabimana, Udo Zölzer, Vignesh Subbaraman

2009

Abstract

In this paper we present an algorithm for the robust estimation of the noise power from the speech signals contaminated by high non stationary noise sources for speech enhancement. The noise power is first estimated by minimum statistics principles with a very short window. From the resulting noise power excess, the overestimation is accounted for using recursive averaging techniques. The performance of the proposed technique is finally compared with the different existing approaches using various grading tests.

References

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Paper Citation


in Harvard Style

Xavier Nsabimana F., Zölzer U. and Subbaraman V. (2009). NOISE POWER ESTIMATION USING RAPID ADAPTATION AND RECURSIVE SMOOTHING PRINCIPLES . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009) ISBN 978-989-674-007-8, pages 13-18. DOI: 10.5220/0002197100130018


in Bibtex Style

@conference{sigmap09,
author={François Xavier Nsabimana and Udo Zölzer and Vignesh Subbaraman},
title={NOISE POWER ESTIMATION USING RAPID ADAPTATION AND RECURSIVE SMOOTHING PRINCIPLES},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)},
year={2009},
pages={13-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002197100130018},
isbn={978-989-674-007-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)
TI - NOISE POWER ESTIMATION USING RAPID ADAPTATION AND RECURSIVE SMOOTHING PRINCIPLES
SN - 978-989-674-007-8
AU - Xavier Nsabimana F.
AU - Zölzer U.
AU - Subbaraman V.
PY - 2009
SP - 13
EP - 18
DO - 10.5220/0002197100130018