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:
May. 13, 2025

Filed:

Aug. 22, 2022
Applicant:

Educational Testing Service, Princeton, NJ (US);

Inventors:

Chee Wee Leong, Pennington, NJ (US);

Xianyang Chen, Princeton, NJ (US);

Vinay K. Basheerabad, Princeton, NJ (US);

Chong Min Lee, Pennington, NJ (US);

Patrick D. Houghton, Titusville, NJ (US);

Assignee:

Educational Testing Service, Princeton, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G06F 40/284 (2020.01); G10L 15/16 (2006.01); G10L 15/26 (2006.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G06F 40/284 (2020.01); G10L 15/16 (2013.01);
Abstract

Data is received that encapsulates a video of a subject performing a task. This video is used to generate a transcript using an automatic speech recognition (ASR) system. A plurality of text segments are generated from the transcript and then tokenized. A textual representation of each segment is extracted by a transformer model using the tokenized text segment (i.e., the tokens corresponding to the text segment). Thereafter, for each segment, a fused representation derived from the textual representations and corresponding visual and audio features from the video is generated. A sparse attention machine learning model then selects an optimal slice of the video based on the fused representations. The optimal slice can then be input into one or more machine learning models trained to characterize performance of the task by the subject.


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