The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 09, 2014

Filed:

Jun. 07, 2011
Applicants:

Walter Kellermann, Eckental, DE;

Klaus Reindl, Erlangen, DE;

Yuanhang Zheng, Erlangen, DE;

Inventors:

Walter Kellermann, Eckental, DE;

Klaus Reindl, Erlangen, DE;

Yuanhang Zheng, Erlangen, DE;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/20 (2006.01); G10L 21/06 (2013.01); H04R 25/00 (2006.01); G10L 21/0208 (2013.01); G10L 21/0216 (2013.01); H04R 3/00 (2006.01);
U.S. Cl.
CPC ...
G10L 21/0208 (2013.01); H04R 2225/43 (2013.01); G10L 2021/02165 (2013.01); G10L 2021/02168 (2013.01); H04R 3/005 (2013.01); H04R 25/552 (2013.01); H04R 2430/25 (2013.01); H04R 2430/03 (2013.01); H04R 25/407 (2013.01); G10L 2021/065 (2013.01);
Abstract

A method determines a bias reduced noise and interference estimation in a binaural microphone configuration with a right and a left microphone signal at a time-frame with a target speaker active. The method includes a determination of the auto power spectral density estimate of the common noise formed of noise and interference components of the right and left microphone signals and a modification of the auto power spectral density estimate of the common noise by using an estimate of the magnitude squared coherence of the noise and interference components contained in the right and left microphone signals determined at a time frame without a target speaker active. An acoustic signal processing system and a hearing aid implement the method for determining the bias reduced noise and interference estimation. The noise reduction performance of speech enhancement algorithms is improved by the invention. Further, distortions of the target speech signal and residual noise and interference components are reduced.


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