Automatically determining language for speech recognition of spoken utterance received via an automated assistant interface
US11393476B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 8, 2019 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Feb 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/32
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations relate to determining a language for speech recognition of a spoken utterance, received via an automated assistant interface, for interacting with an automated assistant. In various implementations, audio data indicative of a voice input that includes a natural language request from a user may be applied as input across multiple speech-to-text (“STT”) machine learning models to generate multiple candidate speech recognition outputs. Each STT machine learning model may trained in a particular language. For each respective STT machine learning model of the multiple STT models, the multiple candidate speech recognition outputs may be analyzed to determine an entropy score for the respective STT machine learning model. Based on the entropy scores, a target language associated with at least one STT machine learning model of the multiple STT machine learning models may be selected. The automated assistant may respond to the request using the target language.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.