loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: François Xavier Nsabimana 1 ; Udo Zölzer 1 and Vignesh Subbaraman 2

Affiliations: 1 Helmut Schmidt University, Germany ; 2 Information and Communication Systems, Technische Universität Hamburg-Harburg, Germany

Keyword(s): Noise estimation, Recursive averaging, Speech presence probability, Smoothing, Bias correction and normalized mean square error.

Related Ontology Subjects/Areas/Topics: Applications ; Audio and Speech Processing ; Digital Signal Processing ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Software Engineering ; Telecommunications

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.15.136.223

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (ICETE 2009) - SIGMAP; ISBN 978-989-674-007-8, SciTePress, pages 13-18. DOI: 10.5220/0002197100130018

@conference{sigmap09,
author={Fran\c{C}ois {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 (ICETE 2009) - SIGMAP},
year={2009},
pages={13-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002197100130018},
isbn={978-989-674-007-8},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2009) - SIGMAP
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
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic