Data-driven and rule-based speech recognition output enhancement
US11257484B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2019 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Apr 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to some embodiments, a multi-layer speech recognition transcript post processing system may include a data-driven, statistical layer associated with a trained automatic speech recognition model that selects an initial transcript. A rule-based layer may receive the initial transcript from the data-driven, statistical layer and execute at least one pre-determined rule to generate a first modified transcript. A machine learning approach layer may receive the first modified transcript from the rule-based layer and perform a neural model inference to create a second modified transcript. A human editor layer may receive the second modified transcript from the machine learning approach layer along with an adjustment from at least one human editor. The adjustment may create, in some embodiments, a final transcript that may be used to fine-tune the data-driven, statistical layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.