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Combined Reduction of Time Varying Harmonic and Stationary Noise Using Frequency Warping

Authors:

Thomas Esch, Matthias Rüngeler, Florian Heese, and Peter Vary

Book Title:

Conference Record of Asilomar Conference on Signals, Systems, and Computers (ACSSC)

Venue:

Pacific Grove, CA, USA

Event Date:

7.-10.11.2010

Organization:

IEEE

Location:

Piscataway, NJ, USA

Date:

Nov. 2010

Pages:

533–537

ISBN:

978-1-42449-720-1

Language:

English

Abstract

Speech enhancement under non-stationary environments is still a challenging problem. This contribution presents a noise reduction system that is capable of tracking and suppressing both time varying harmonic noise and stationary noise. In a first stage, the harmonic noise power is estimated and attenuated using a modified Minimum Statistics approach that performs frequency warping according to the harmonic’s fundamental frequency. A conventional noise estimation technique is applied in a second stage in order to reduce the random components of the noise spectrum. The performance of the proposed noise suppression system is shown to be consistently better than conventional approaches.

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