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. 06, 2022

Filed:

Nov. 03, 2020
Applicant:

Fidelity Information Services, Llc, Jacksonville, FL (US);

Inventor:

Rajiv Ramanjani, Karnataka, IN;

Assignee:

Fidelity Information Services, LLC, Jacksonville, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/63 (2013.01); G06F 16/904 (2019.01); G06K 9/62 (2022.01); G06F 40/30 (2020.01); G10L 15/08 (2006.01); G10L 15/30 (2013.01); H04M 3/51 (2006.01); G10L 15/26 (2006.01); G06F 40/35 (2020.01); G10L 25/60 (2013.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G10L 25/63 (2013.01); G06F 16/904 (2019.01); G06F 40/30 (2020.01); G06K 9/6267 (2013.01); G10L 15/08 (2013.01); G06F 40/35 (2020.01); G10L 15/1807 (2013.01); G10L 15/26 (2013.01); G10L 15/30 (2013.01); G10L 25/60 (2013.01); H04M 3/5175 (2013.01);
Abstract

Methods and systems include sending recording data of a call to a first server and a second server, wherein the recording data includes a first voice of a first participant of the call and a second voice of a second participant of the call; receiving, from the first server, a first emotion score representing a degree of a first emotion associated with the first voice, and a second emotion score representing a degree of a second emotion associated with the first voice; receiving, from the second server, a first sentiment score, a second sentiment score, and a third sentiment score; determining a quality score and classification data for the recording data based on the first emotion score, the second emotion score, the first sentiment score, the second sentiment score, and the third sentiment score; and outputting the quality score and the classification data for visualization of the recording data.


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