Method and apparatus for multi-lingual end-to-end speech recognition
US10593321B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 15, 2017 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Dec 23, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/005
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training a multi-language speech recognition network includes providing utterance datasets corresponding to predetermined languages, inserting language identification (ID) labels into the utterance datasets, wherein each of the utterance datasets is labelled by each of the language ID labels, concatenating the labeled utterance datasets, generating initial network parameters from the utterance datasets, selecting the initial network parameters according to a predetermined sequence, and training, iteratively, an end-to-end network with a series of the selected initial network parameters and the concatenated labeled utterance datasets until a training result reaches a threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.