Acoustic model training method, speech recognition method, acoustic model training apparatus, speech recognition apparatus, acoustic model training program, and speech recognition program
US11264044B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2017 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Mar 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
To begin with, an acoustic model training apparatus extracts speech features representing speech characteristics, and calculates an acoustic-condition feature representing a feature of an acoustic condition of the speech data using an acoustic-condition calculation model that is represented as a neural network, based on an acoustic-condition calculation model parameter characterizing the acoustic-condition calculation model. The acoustic model training apparatus then generates an adjusted parameter that is an acoustic model parameter adjusted based on the acoustic-condition feature, the acoustic model parameter characterizing an acoustic model represented as a neural network to which an output layer of the acoustic-condition calculation model is coupled. The acoustic model training apparatus then updates the acoustic model parameter based on the adjusted parameter and the speech features, and updates the acoustic-condition calculation model parameters based on the adjusted parameter and the speech features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.