Language-agnostic multilingual modeling using effective script normalization
US11615779B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2021 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | Mar 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/53
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes obtaining a plurality of training data sets each associated with a respective native language and includes a plurality of respective training data samples. For each respective training data sample of each training data set in the respective native language, the method includes transliterating the corresponding transcription in the respective native script into corresponding transliterated text representing the respective native language of the corresponding audio in a target script and associating the corresponding transliterated text in the target script with the corresponding audio in the respective native language to generate a respective normalized training data sample. The method also includes training, using the normalized training data samples, a multilingual end-to-end speech recognition model to predict speech recognition results in the target script for corresponding speech utterances spoken in any of the different native languages associated with the plurality of training data sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.