Efficient generation of personalized spoken language understanding models
US10109273B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2013 |
| Grant date | Oct 23, 2018 |
| Priority date | — |
| Expiry date | Nov 13, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/227
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Features are disclosed for maintaining data that can be used to personalize spoken language understanding models, such as speech recognition or natural language understanding models. The personalization data can be used to update the models based on some or all of the data. The data may be obtained from various data sources, such as applications or services used by the user. Personalized spoken language understanding models may be generated or updated based on updates to the personalization data or some other portion of the stored personalization data. Generation of personalized spoken language understanding models may be prioritized such that the generation process accommodates multiple users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.