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:
Jan. 02, 2024

Filed:

Apr. 15, 2019
Applicant:

Cirrus Logic International Semiconductor Ltd., Edinburgh, GB;

Inventors:

Nitin Kwatra, Austin, TX (US);

Jeffrey D. Alderson, Austin, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10K 11/178 (2006.01); H04R 3/04 (2006.01); G10L 21/0232 (2013.01); G10L 15/16 (2006.01); H04R 5/033 (2006.01); H04R 5/04 (2006.01);
U.S. Cl.
CPC ...
H04R 3/04 (2013.01); G10L 15/16 (2013.01); G10L 21/0232 (2013.01); H04R 5/033 (2013.01); H04R 5/04 (2013.01); H04R 2410/07 (2013.01); H04R 2430/01 (2013.01);
Abstract

An acoustic signal processing system and method includes classification technology to classify a relationship between at least two sound components of a received sound signal. The exemplary sound components are ambient noise and localized noise. The classification technology dynamically determines a classification value that represents the relationship between the sound components and processes the sound signal in accordance with the acoustic signal classification to modify the sound signal. In at least one embodiment, dynamic classification of the relationship between sound components in a sound signal and responsive signal processing improve performance of systems, such as an active noise cancellation (ANC) system, by, for example, attenuating at least one of the sound components and/or enhancing at least one of the sound components. In an ANC system context, the sound components generally include noise components such as ambient noise and noise localized to a microphone.


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