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:
Jun. 02, 2026

Filed:

Nov. 30, 2023
Applicant:

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

Inventors:

Quoc Huy Phan, Bromley, GB;

Byeonggeun Kim, Toronto, CA;

Andrew Thomas Bydlon, North Adams, MA (US);

Qingming Tang, Belmont, WA (US);

Chieh-Chi Kao, Kirkland, WA (US);

Chao Wang, Newton, MA (US);

Tien Vu Nguyen, Black Forest, AU;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/32 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/32 (2013.01);
Abstract

Techniques for reducing occurrences of cross-triggering event types not represented in audio data and false detection of event types are described. Different event types, such as a hand clap event type and a door knock event type may have substantially similar audio characteristics, and if one event type of such event types is represented in audio data, then event detection processing of that audio data may lead to detection of event types not represented in the audio data. Example embodiments involve training a model configured to detect multiple event types to enforce mutual exclusivity between different event type pairs or sets of the multiple event types. The model is trained to enforce mutual exclusivity using a regularizer function and a weight parameter to reduce any positive detection scores of event types not represented in received audio. Similar techniques may be applied to models for object detection using image data.


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