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:
Oct. 28, 2025

Filed:

Dec. 14, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Chandan Karadagur Ananda Reddy, Cupertino, CA (US);

Navin Chatlani, Palo Alto, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 21/0232 (2013.01); G10L 21/0224 (2013.01); G10L 25/60 (2013.01); G10L 21/0216 (2013.01);
U.S. Cl.
CPC ...
G10L 21/0232 (2013.01); G10L 21/0224 (2013.01); G10L 25/60 (2013.01); G10L 2021/02163 (2013.01);
Abstract

Implementations described herein relate to providing noise suppression for speech data with reduced power consumption. In some implementations, a computer-implemented method includes receiving a current time frame of speech data, e.g., after receiving a previous time frame associated with a previous noise suppression mask. The current time frame is transformed to a current frequency frame in the frequency domain. A noise classifier is used to determine whether to create a current noise suppression mask for the current frame. If it is determined to create the mask, the mask is created and multiplied by the current frequency frame to obtain a noise-suppressed frequency frame. If it is determined to not create the current mask, the previous noise suppression mask is multiplied with the current frequency frame to obtain the noise-suppressed frequency frame, without creating a mask. The noise-suppressed frequency frame is transformed to a time frame and output.


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