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:
Feb. 02, 2021

Filed:

May. 11, 2018
Applicant:

Google Technology Holdings Llc, Mountain View, CA (US);

Inventors:

Plamen A. Ivanov, Schaumburg, IL (US);

Kevin J. Bastyr, Milwaukee, WI (US);

Joel A. Clark, Woodridge, IL (US);

Mark A. Jasiuk, Chicago, IL (US);

Tenkasi V. Ramabadran, Oswego, IL (US);

Jincheng Wu, Naperville, IL (US);

Assignee:

Google Technology Holdings LLC, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/20 (2006.01); G10L 21/0364 (2013.01); G10L 21/0216 (2013.01); G10L 15/28 (2013.01); G10L 21/02 (2013.01); G10L 25/21 (2013.01);
U.S. Cl.
CPC ...
G10L 15/20 (2013.01); G10L 15/28 (2013.01); G10L 21/0202 (2013.01); G10L 21/0364 (2013.01); G10L 21/0216 (2013.01); G10L 25/21 (2013.01); G10L 2021/02161 (2013.01);
Abstract

A disclosed method includes monitoring an audio signal energy level while having a plurality of signal processing components deactivated and activating at least one signal processing component in response to a detected change in the audio signal energy level. The method may include activating and running a voice activity detector on the audio signal in response to the detected change where the voice activity detector is the at least one signal processing component. The method may further include activating and running the noise suppressor only if a noise estimator determines that noise suppression is required. The method may activate and runs a noise type classifier to determine the noise type based on information received from the noise estimator and may select a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.


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