US 12,462,812 B2
Relationship-driven virtual assistant
Ashok Kumar Iyengar, Encinitas, CA (US); Trudy L. Hewitt, Cary, NC (US); Venkata Vishwanath Gadepalli, Apex, NC (US); and Jeremy R. Fox, Georgetown, TX (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Dec. 5, 2022, as Appl. No. 18/061,499.
Prior Publication US 2024/0185862 A1, Jun. 6, 2024
Int. Cl. G10L 17/22 (2013.01); G10L 13/027 (2013.01); G10L 25/54 (2013.01)
CPC G10L 17/22 (2013.01) [G10L 13/027 (2013.01); G10L 25/54 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for generating a query response in an environment based on predicted relationships between users, the computer-implemented method comprising:
capturing a question with a device in the environment, wherein the question includes a speaking voice and is selected from a group consisting of: video data, audio data and text data;
identifying a speaker of the question based on the speaking voice;
using a supervised machine learning model, generating a relationship map based on historic interactions associated with a user and other related information stored in a database;
analyzing, using the supervised machine model having a speech recognition algorithm, a tone of speech, voice print or voice quality for comparison to a previous user interaction stored in said database, wherein said stored information in said database has been recorded over time and contains audio, video and/or text questions and answers previously obtained;
determining a relationship between the question and each user interaction based on the relationship map generated;
selecting a response from the database of user interactions based on the relationship; and
transmitting the response to the environment, wherein transmission of the response uses a voice of the user.