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Dual Microphone Wind Noise Reduction by Exploiting the Complex Coherence

Authors:
Christoph Matthias Nelke and Peter Vary
Book Title:
ITG-Fachtagung Sprachkommunikation
Venue:
Erlangen, Germany
Event Date:
24.-26.9.2014
Organization:
ITG, VDE
Date:
Sept. 2014
Language:
English

Abstract

This contribution presents methods for detecting, estimating and reducing the effect of wind noise picked up by a dual microphone communication device. To discriminate the sound induced by the wind stream the complex coherence properties of the two microphone signals are exploited. Therefore, a coherence analysis of recorded signals is given. Based on the phase variance of the complex coherence function a wind noise detection mechanism is presented. Furthermore, an approach for the enhancement of distorted speech is developed, which uses the phase variance and the magnitude of the complex coherence. This stage is realized by a noise power spectral density (PSD) estimation and a dedicated spectral subtraction weighting. The evaluation of the proposed algorithm demonstrated that the wind noise can be greatly reduced without introducing severe degradation to the speech.

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