Blind source separation method and acoustic signal processing system for improving interference estimation in binaural wiener filtering

US8290189B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Walter Kellermann · Eckental, DE
• Yuanhang Zheng · Erlangen, DE

Key dates

• Filing date: Jan 21, 2010
• Grant date: Oct 16, 2012
• Expiry date: Sep 26, 2030

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04R2225/41
• WIPO field: Audio-visual technology
• WIPO sector: Electrical engineering

Abstract

A method and an acoustic signal processing system for noise reduction of a binaural microphone signal (x1, x2) with one target point source and M interfering point sources (n1, n2, . . . , nM) as input sources to a left and a right microphone of a binaural microphone system, include: where HW is the Wiener filter, Φ(x+x)(x+x) is the auto power spectral density of the sum of all of the M interfering point sources components (x1,n, x2,n) contained in the left and right microphone signals and Φ(x+x)(x+x) is the auto power spectral density of the sum of the left and right microphone signals. Due to the linear-phase property of the calculated Wiener filter, original binaural cues are perfectly preserved not only for the target source but also for the residual interfering sources.