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:
Oct. 20, 2020

Filed:

Oct. 16, 2017
Applicant:

The Nielsen Company (Us), Llc, New York, NY (US);

Inventors:

Robert T. Knight, Berkeley, CA (US);

Ramachandran Gurumoorthy, Berkeley, CA (US);

Alexander Topchy, New Port Richey, FL (US);

Ratnakar Dev, Berkeley, CA (US);

Padmanabhan Soundararajan, Tampa, FL (US);

Anantha Pradeep, Piedmont, CA (US);

Assignee:

The Nielsen Company (US), LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); A61B 5/16 (2006.01); G06Q 30/02 (2012.01); G10L 25/63 (2013.01); A61B 5/11 (2006.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/165 (2013.01); G06Q 30/0269 (2013.01); G10L 25/63 (2013.01); A61B 5/1112 (2013.01); A61B 5/1123 (2013.01); A61B 5/4803 (2013.01);
Abstract

Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.


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