Direct speech-to-speech translation via machine learning
US12032920B2 · kind B2 · utility
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Key dates
| Filing date | Mar 7, 2020 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Mar 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L21/003
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides systems and methods that train and use machine-learned models such as, for example, sequence-to-sequence models, to perform direct and text-free speech-to-speech translation. In particular, aspects of the present disclosure provide an attention-based sequence-to-sequence neural network which can directly translate speech from one language into speech in another language, without relying on an intermediate text representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.