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:
Dec. 22, 2015

Filed:

Nov. 29, 2012
Applicant:

Educational Testing Service, Princeton, NJ (US);

Inventors:

Klaus Zechner, Princeton, NJ (US);

Keelan Evanini, Pennington, NJ (US);

Lei Chen, Pennington, NJ (US);

Shasha Xie, Lawrenceville, NJ (US);

Wenting Xiong, Pittsburgh, PA (US);

Fei Huang, Philadelphia, PA (US);

Jana Sukkarieh, Princeton, NJ (US);

Miao Chen, Bloomington, IN (US);

Assignee:

Educational Testing Service, Princeton, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G06F 17/28 (2006.01); G10L 15/18 (2013.01); G09B 19/06 (2006.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G06F 17/28 (2013.01); G09B 19/06 (2013.01); G10L 15/1815 (2013.01); G10L 2015/088 (2013.01);
Abstract

Systems and methods are provided for scoring a non-scripted speech sample. A system includes one or more data processors and one or more computer-readable mediums. The computer-readable mediums are encoded with a non-scripted speech sample data structure, where the non-scripted speech sample data structure includes: a speech sample identifier that identifies a non-scripted speech sample, a content feature extracted from the non-scripted speech sample, and a content-based speech score for the non-scripted speech sample. The computer-readable mediums further include instructions for commanding the one or more data processors to extract the content feature from a set of words automatically recognized in the non-scripted speech sample and to score the non-scripted speech sample by providing the extracted content feature to a scoring model to generate the content-based speech score.


Find Patent Forward Citations

Zechner, Klaus. (2015). Computer-implemented systems and methods for content scoring of spoken responses (U.S. Patent No. 9218339). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/9218339

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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