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:
May. 12, 2026

Filed:

Aug. 14, 2023
Applicant:

Cypress Semiconductor Corporation, San Jose, CA (US);

Inventors:

Aidan Smyth, Irvine, CA (US);

Ashutosh Pandey, Irvine, CA (US);

Niall Lyons, Irvine, CA (US);

Ted Wada, Irvine, CA (US);

Robert Zopf, Rancho Santa Margarita, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/01 (2013.01); G10L 15/02 (2006.01); G10L 15/187 (2013.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/01 (2013.01); G10L 15/02 (2013.01); G10L 15/187 (2013.01); G10L 2015/025 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/088 (2013.01);
Abstract

Systems, methods, and devices detect wake signals included in audio signals. Methods include receiving a dataset including raw audio data, the raw audio data comprising a plurality of audio samples and associated metadata, and generating, using one or more processing elements, an augmented dataset based on the raw audio data, the augmented dataset comprising a plurality of annotations identifying types of raw audio data. Methods further include generating, using the one or more processing elements, a feature dataset by extracting features from the augmented dataset based, at least in part, on the plurality of annotations, and generating, using the one or more processing elements, a wake signal detection model based, at least in part, on the feature dataset, the wake signal detection model being a machine learning model trained based on the feature dataset.


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