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:
Sep. 10, 2024

Filed:

Feb. 14, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Qin Zhang, Boston, MA (US);

Qingming Tang, Cambridge, MA (US);

Ming Sun, Winchester, MA (US);

Chao Wang, Netwon, MA (US);

Steve Mark Lorusso, Weston, MA (US);

Andrew Thomas Bydlon, Cambridge, MA (US);

James Garnet Droppo, Carnation, WA (US);

Viktor Rozgic, Belmont, MA (US);

Sripal Mehta, San Francisco, CA (US);

Yang Liu, Los Altos, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/51 (2013.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 25/51 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01);
Abstract

A system may be configured to detect custom acoustic events, where the system generates an acoustic event profile for the custom acoustic event based on a natural language description provided by a user and using an audio sample of the described acoustic event. For example, the user may describe the custom acoustic event as 'dog bark.' The system may ask the user questions to refine the description (e.g., dog breed, dog gender, age, etc.). Using an audio sample of the refined description, the system may then determine that audio captured in the user's environment is a potential sample of the custom acoustic event. Such captured audio may be presented to the user for confirmation, and then may be used to detect future occurrences of the custom acoustic event in the user's environment.


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