Evaluation of Single- and Dual-Channel Noise Power Spectral Density Estimation Algorithms for Mobile Phones

Authors:

Herglotz, C. ,  Jeub, M. ,  Nelke, C. M. ,  Beaugeant, C. ,  Vary, P.

Book Title:

Konferenz Elektronische Sprachsignalverarbeitung (ESSV)

Organization:

ITG, DEGA

Publisher:

TuDPress Verlag der Wissenschaften GmbH

Series:

Studientexte zur Sprachkommunikation

Volume:

61

Pages:

p.p. 13-22

Address:

Aachen, Germany

Date:

Sep. 2011

ISBN:

978-3-94271-037-4

ISSN:

0940-6832

Language:

English

Abstract

Noise suppression has become a standard option for high end mobile phones. One essential component for most of these algorithms is the estimation of the noise power spectral density (PSD) of the unwanted background noise. A large number of single and dual-channel approaches that exploit a large variety of different signal properties have been presented in literature. So far, a comprehensive evaluation of these approaches in realistic and reproducible situations does not exist. In this contribution, the performance of well-known as well as recently proposed noise PSD estimators is analyzed with respect to an integration in dual-microphone mobile phones. Additionally, a new algorithm is proposed which exploits explicitly the dual-microphone configuration of state-of-the-art mobile phones and smartphones.

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