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:
Aug. 27, 2019

Filed:

May. 12, 2017
Applicant:

Cirrus Logic International Semiconductor Ltd., Edinburgh, GB;

Inventor:

Samuel P. Ebenezer, Tempe, AZ (US);

Assignee:

Cirrus Logic, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/20 (2006.01); G10L 25/06 (2013.01); G01S 3/80 (2006.01); G10L 25/84 (2013.01); G10L 21/0216 (2013.01); G10L 21/0264 (2013.01); H04R 3/00 (2006.01); G01S 3/805 (2006.01);
U.S. Cl.
CPC ...
G10L 25/06 (2013.01); G01S 3/805 (2013.01); G01S 3/8006 (2013.01); G10L 15/20 (2013.01); G10L 21/0216 (2013.01); G10L 21/0264 (2013.01); G10L 25/84 (2013.01); H04R 3/005 (2013.01); G10L 2021/02166 (2013.01); H04R 2430/20 (2013.01);
Abstract

In accordance with embodiments of the present disclosure, a method for detecting near-field sources in an audio device may include computing a normalized cross correlation function between a first microphone signal and a second microphone signal, computing normalized auto correlation functions of each of the first microphone signal and the second microphone signal, partitioning the normalized cross correlation function and the normalized auto correlation functions into a plurality of time lag regions, computing for each respective time lag region of the plurality of the time lag regions a respective maximum deviation between the normalized cross correlation function and a normalized auto correlation function within the respective time lag region, combining the respective maximum deviations from the plurality of time lag regions to derive multiple detection statistics, and comparing each detection statistic of the multiple detection statistics to a respective threshold to detect a near-field signal.


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