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:
Mar. 25, 2025

Filed:

May. 13, 2024
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Christopher Hughes, Redwood City, CA (US);

Yiteng Huang, Basking Ridge, NJ (US);

Turaj Zakizadeh Shabestary, San Francisco, CA (US);

Taylor Applebaum, Mountain View, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/02 (2006.01); G10L 15/08 (2006.01); G10L 15/20 (2006.01); G10L 21/0232 (2013.01); G10L 25/84 (2013.01); G10L 21/0216 (2013.01);
U.S. Cl.
CPC ...
G10L 15/20 (2013.01); G10L 15/02 (2013.01); G10L 15/08 (2013.01); G10L 15/22 (2013.01); G10L 21/0232 (2013.01); G10L 25/84 (2013.01); G10L 2015/025 (2013.01); G10L 2015/088 (2013.01); G10L 2015/223 (2013.01); G10L 2021/02166 (2013.01);
Abstract

Techniques are described for selectively adapting and/or selectively utilizing a noise reduction technique in detection of one or more features of a stream of audio data frames. For example, various techniques are directed to selectively adapting and/or utilizing a noise reduction technique in detection of an invocation phrase in a stream of audio data frames, detection of voice characteristics in a stream of audio data frames (e.g., for speaker identification), etc. Utilization of described techniques can result in more robust and/or more accurate detections of features of a stream of audio data frames in various situations, such as in environments with strong background noise. In various implementations, described techniques are implemented in combination with an automated assistant, and feature(s) detected utilizing techniques described herein are utilized to adapt the functionality of the automated assistant.


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