Speech processing with learned representation of user interaction history
US10032463B1 · kind B1 · utility
34Cited by
7References
20Claims
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Key dates
| Filing date | Dec 29, 2015 |
| Grant date | Jul 24, 2018 |
| Priority date | — |
| Expiry date | Jan 8, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/228
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automatic speech recognition (“ASR”) system produces, for particular users, customized speech recognition results by using data regarding prior interactions of the users with the system. A portion of the ASR system (e.g., a neural-network-based language model) can be trained to produce an encoded representation of a user's interactions with the system based on, e.g., transcriptions of prior utterances made by the user. This user-specific encoded representation of interaction history is then used by the language model to customize ASR processing for the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.