Systems and methods to improve trust in conversations with deep learning models
US12236944B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 27, 2022 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Jun 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a system, a method, and a product for using deep learning models to quantify and/or improve trust in conversations. The system includes a non-transitory memory storing instructions executable to construct a deep-learning network to quantify trust scores; and a processor in communication with the non-transitory memory. The processor executes the instructions to cause the system to: obtain a trust score for each voice sample in a plurality of audio samples, generate a predicated trust score by the deep-learning network based on each voice sample in the plurality of audio samples, wherein the deep-learning network comprises a plurality of branches and an aggregation network configured to aggregate results from the plurality of branches, and train the deep-learning network based on the predicated trust score and the trust score for each voice sample to obtain a training result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.