Domain adaptation in speech recognition via teacher-student learning
US10885900B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2017 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | Aug 11, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Improvements in speech recognition in a new domain are provided via the student/teacher training of models for different speech domains. A student model for a new domain is created based on the teacher model trained in an existing domain. The student model is trained in parallel to the operation of the teacher model, with inputs in the new and existing domains respectfully, to develop a neural network that is adapted to recognize speech in the new domain. The data in the new domain may exclude transcription labels but rather are parallelized with the data analyzed in the existing domain analyzed by the teacher model. The outputs from the teacher model are compared with the outputs of the student model and the differences are used to adjust the parameters of the student model to better recognize speech in the second domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.