Systems and methods to automate trust delivery

US12347416B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Lan Guan · New York, US
• Neeraj D Vadhan · Los Altos, US
• Sukryool Kang · Dublin, US
• Anwitha Paruchuri · San Jose, US
• Anupam Anurag Tripathi · Chicago, US
• Sujeong Cha · Manhattan, US
• Thomas Wayne Hancock · Oklahoma City, US
• Jill Gengelbach-Wylie · Austin, US
• Yuan He · Boise, US
• Andrew Francis Hickl · Seattle, US
• Ivan Wong · Edison, US
• Surya Raghavendra Vadlamani · Newtown, US

Key dates

• Filing date: Dec 5, 2022
• Grant date: Jul 1, 2025
• Expiry date: Oct 26, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G10L25/63
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The present disclosure relates to systems, methods, and products for using machine-learning networks to generate trustworthy audio and face mesh. A system, serving as a digital avatar, generates a trust audio and trust face mesh corresponding to an input text. A method includes generating a set of trust embedding vectors based on a reference audio; generate a text embedding vector based on the input text; generate a conditioned vector based on the set of trust embedding vectors and the text embedding vector; synthesize an audio representation based on the conditioned vector; generate the trust audio based on the synthesized audio representation; obtain a speech feature representation based on the trust audio; obtain an abstract feature vector based on the speech feature representation; and generate positions of vertices based on the abstract feature vector, the positions of vertices being used for generating the trust face mesh.