Speech recognition hypothesis generation according to previous occurrences of hypotheses terms and/or contextual data
US11189264B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 17, 2019 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Nov 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/183
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations set forth herein relate to speech recognition techniques for handling variations in speech among users (e.g. due to different accents) and processing features of user context in order to expand a number of speech recognition hypotheses when interpreting a spoken utterance from a user. In order to adapt to an accent of the user, terms common to multiple speech recognition hypotheses can be filtered out in order to identify inconsistent terms apparent in a group of hypotheses. Mappings between inconsistent terms can be stored for subsequent users as term correspondence data. In this way, supplemental speech recognition hypotheses can be generated and subject to probability-based scoring for identifying a speech recognition hypothesis that most correlates to a spoken utterance provided by a user. In some implementations, prior to scoring, hypotheses can be supplemented based on contextual data, such as on-screen content and/or application capabilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.