DISTRIBUTED MACHINE-LEARNED EMPHATIC COMMUNICATION FOR MACHINE-TO-HUMAN AND MACHINE-TO-MACHINE INTERACTIONS

Patent №

US 11,037,576

Granted

2021-06-15

Filed 2018

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16192327

A system determines if a call participant of a call between the call participant and a voice response system is a human or a machine. Responsive to determining that the call participant is a human, an emotional state of the call participant is determined. Environmental information of an environment associated with the call participant is receiving. A receptiveness level of the call participant is determined based upon the emotional state and the environmental information. A message to the call participant is determined based upon the receptiveness level and one or more machine-learning models.

Machine learningNatural languageSpeechPlanningAI hardwareG10L 17/26G06N 20/00G10L 15/1815G10L 15/26G10L 15/30G10L 17/00G10L 17/04G10L 17/22+9 more

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
Planning0.95
AI hardware0.78
Vision0.01
Knowledge representation0.01
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 475170692

Assignors

BAUGHMAN, AARON K., MARZORATI, MAURO, DIAMANTI, GARY FRANCIS, RAKSHIT, SARBAJIT K.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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