Spoken language understanding models
US11574637B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 8, 2020 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Nov 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for using a federated learning framework to update machine learning models for spoken language understanding (SLU) system are described. The system determines which labeled data is needed to update the models based on the models generating an undesired response to an input. The system identifies users to solicit labeled data from, and sends a request to a user device to speak an input. The device generates labeled data using the spoken input, and updates the on-device models using the spoken input and the labeled data. The updated model data is provided to the system to enable the system to update the system-level (global) models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.