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:
Feb. 15, 2022

Filed:

Dec. 14, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Samuel Thomas, White Plains, NY (US);

Yinghui Huang, New York, NY (US);

Masayuki Suzuki, Tokyo, JP;

Zoltan Tueske, White Plains, NY (US);

Laurence P. Sansone, Beacon, NY (US);

Michael A. Picheny, White Plains, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 21/10 (2013.01); G10L 15/22 (2006.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 21/10 (2013.01); G10L 15/08 (2013.01); G10L 15/22 (2013.01); G10L 2015/088 (2013.01);
Abstract

Method, apparatus, and computer program product are provided for customizing an automatic closed captioning system. In some embodiments, at a data use (DU) location, an automatic closed captioning system that includes a base model is provided, search criteria are defined to request from one or more data collection (DC) locations, a search request based on the search criteria is sent to the one or more DC locations, relevant closed caption data from the one or more DC locations are received responsive to the search request, the received relevant closed caption data are processed by computing a confidence score for each of a plurality of data sub-sets of the received relevant closed caption data and selecting one or more of the data sub-sets based on the confidence scores, and the automatic closed captioning system is customized by using the selected one or more data sub-sets to train the base model.


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