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:

Sep. 30, 2021
Applicant:

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

Inventors:

Juan Martin Borgnino, Marina Del Rey, CA (US);

Sanjeev Kumar, Redmond, WA (US);

Shenshen Liang, Menlo Park, CA (US);

Ayman Mahfouz, Culver City, CA (US);

Robert Eicher Simmering, Santa Ana, CA (US);

Harshal Dilip Wanjari, Issaquah, WA (US);

Muhammad Yahia, Anaheim, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 67/50 (2022.01); G10L 15/16 (2006.01); H04H 60/65 (2008.01); H04L 65/1083 (2022.01);
U.S. Cl.
CPC ...
H04L 67/535 (2022.05); G10L 15/16 (2013.01); H04H 60/65 (2013.01); H04L 65/1083 (2013.01);
Abstract

As a media program is aired to listeners, a control system monitors audio data transmitted to the listeners and interactions received from the listeners to determine whether the media program has violated or may violate one or more rules. The audio data is processed to identify words expressed therein and features of the audio data. Additionally, features of users (e.g., a creator or any listeners or guests) may be calculated based on any information or data available regarding such users. An embedding is formed with data representing the words, the audio features and the user features, and provided to a model trained to determine whether a media program is at risk of violating any rules. One or more actions are selected and executed or recommended based on a score generated by the model representing a level of risk that a rule has been, is being or will be violated.


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