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. 25, 2020

Filed:

Feb. 11, 2019
Applicant:

Affectiva, Inc., Boston, MA (US);

Inventors:

Taniya Mishra, New York, NY (US);

Rana el Kaliouby, Milton, MA (US);

Assignee:

Affectiva, Inc., Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/02 (2006.01); G10L 25/63 (2013.01); G10L 25/90 (2013.01); G10L 15/18 (2013.01); G10L 21/055 (2013.01); G06K 9/00 (2006.01); B60R 16/037 (2006.01); B60W 50/10 (2012.01); G10L 15/25 (2013.01); G10L 25/51 (2013.01); G10L 21/0356 (2013.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); B60R 16/0373 (2013.01); B60W 50/10 (2013.01); G06K 9/00288 (2013.01); G06K 9/00315 (2013.01); G10L 15/02 (2013.01); G10L 15/1807 (2013.01); G10L 15/25 (2013.01); G10L 21/055 (2013.01); G10L 25/51 (2013.01); G10L 25/63 (2013.01); G10L 25/90 (2013.01); B60W 2540/02 (2013.01); B60W 2540/04 (2013.01); G10L 21/0356 (2013.01); G10L 2015/223 (2013.01);
Abstract

Audio analysis learning is performed using video data. Video data is obtained, on a first computing device, wherein the video data includes images of one or more people. Audio data is obtained, on a second computing device, which corresponds to the video data. A face within the video data is identified. A first voice, from the audio data, is associated with the face within the video data. The face within the video data is analyzed for cognitive content. Audio features corresponding to the cognitive content of the video data are extracted. The audio data is segmented to correspond to an analyzed cognitive state. An audio classifier is learned, on a third computing device, based on the analyzing of the face within the video data. Further audio data is analyzed using the audio classifier.


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