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A cross-spectrum weighting algorithm for speech enhancement and array processing: combining phase-shift information and stationary signal properties.

Ingo Schwetz·Gerhard Gruhler·Klaus Obermayer
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Abstract

In this paper, a gain function for noise cancellation with a two-channel microphone array is presented. This gain function combines ideas from one- and multichannel algorithms. It is developed using a minimum mean square error estimator for the amplitude of the speech signal from the cross spectrum between two microphone signals. To consider speech pauses and the absence of spectral components of the speech, an extension of this gain function is presented. The performance of the overall gain function is shown in terms of the cancellation of (diffuse) driving noise as well as the cancellation of an interfering speech signal, both recorded in a car.

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AlgorithmsAutomobilesFemaleHumansMaleModels, StatisticalNoise, TransportationSignal Processing, Computer-AssistedSound SpectrographySpeech IntelligibilityJournal Article

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BibTeXRIS

Ingo Schwetz, Gerhard Gruhler, Klaus Obermayer. 2006. A cross-spectrum weighting algorithm for speech enhancement and array processing: combining phase-shift information and stationary signal properties.. https://doi.org/10.1121/1.2149767

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