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A Modified Minimum Statistics Algorithm for Reducing Time Varying Harmonic Noise

Authors:
Thomas Esch, Matthias Rüngeler, Florian Heese, and Peter Vary
Book Title:
ITG-Fachtagung Sprachkommunikation
Venue:
Bochum, Germany
Event Date:
6.-8.10.2010
Publisher:
VDE Verlag GmbH
Location:
Berlin, Germany
Date:
Oct. 2010
ISBN:
978-3-80073-300-2
Language:
English

Abstract

In this paper, a single-channel speech enhancement system is presented that is capable of reducing (time-varying) harmonic noise. For this, the well-known Minimum Statistics approach is modified in order to track and suppress the

harmonic noise based on the harmonics’ fundamental frequency which is assumed to be known a priori. The performance of the proposed noise suppression system is shown to be consistently better than conventional approaches.

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