title: A cross-spectrum weighting algorithm for speech enhancement and array processing: combining phase-shift information and stationary signal properties.
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.
authors.affiliation: ingo.schwetz@gmx.de
authors.forename: Ingo
authors.initials: I
authors.lastname: Schwetz
authors.forename: Gerhard
authors.initials: G
authors.lastname: Gruhler
authors.forename: Klaus
authors.initials: K
authors.lastname: Obermayer
mesh_terms: D000465:Algorithms; D001336:Automobiles; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009624:Noise, Transportation / Q000009:adverse effects* / Q000517:prevention & control; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013018:Sound Spectrography; D013065:Speech Intelligibility