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:
Jan. 28, 2025

Filed:

May. 03, 2022
Applicant:

Conduent Business Services, Llc, Florham Park, NJ (US);

Inventor:

Ashwin Subramanyam, Bangalore, IN;

Assignee:

Conduent Business Services, LLC, Florham Park, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/63 (2013.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); G10L 15/32 (2013.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G10L 15/063 (2013.01); G10L 15/32 (2013.01);
Abstract

Automated systems and methods are provided for processing speech, comprising obtaining a digitally-encoded speech representation corresponding to a telecommunication interaction, wherein the digitally-encoded speech representation includes at least one of a voice recording or a transcript derived from audio of the telecommunication interaction; obtaining a digitally-encoded data set corresponding to at least one structured feature of the telecommunication interaction; obtaining a reference set, wherein the reference set includes a set of binary-classified existing satisfaction classifications; obtaining a trained machine learning algorithm, wherein the machine learning algorithm has been trained using a first plurality of reference telecommunication interactions which include user-provided satisfaction scores; extracting a feature set from the digitally-encoded speech representation; and by the machine learning algorithm and based on at least one structured feature and the feature set, generating a predicted satisfaction classification for the telecommunication interaction.


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