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:
Mar. 26, 2019

Filed:

Apr. 26, 2016
Applicant:

Fmr Llc, Boston, MA (US);

Inventors:

Jason Kao, Cary, NC (US);

Xinxin Sheng, Cary, NC (US);

Bahram Omidfar, Summit, WI (US);

Erkang Zheng, Cary, NC (US);

Assignee:

FMR LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 1/64 (2006.01); H04M 3/51 (2006.01); G10L 25/63 (2013.01); G10L 25/51 (2013.01); G10L 25/90 (2013.01); G10L 25/87 (2013.01);
U.S. Cl.
CPC ...
H04M 3/5175 (2013.01); G10L 25/51 (2013.01); G10L 25/63 (2013.01); G10L 25/87 (2013.01); G10L 25/90 (2013.01); H04M 2201/40 (2013.01); H04M 2203/2038 (2013.01); H04M 2203/555 (2013.01); H04M 2203/556 (2013.01);
Abstract

Methods and apparatuses are described for determining customer service quality through digitized voice characteristic measurement and filtering. A voice analysis module captures a first digitized voice segment corresponding to speech submitted by a user of a remote device. The voice analysis module extracts a first set of voice features from the first voice segment, and determines an emotion level of the user based upon the first set of voice features. The voice analysis module captures a second digitized voice segment corresponding to speech submitted by the user. The voice analysis module extracts a second set of voice features from the second voice segment, and determines a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features. The module normalizes the change in the emotion level of the user using emotion influence factors, and generates a service score.


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