Neural-network-based text-to-speech model for novel speaker generation
US12087275B2 · kind B2 · utility
2Cited by
5References
20Claims
0Family size
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Key dates
| Filing date | Feb 16, 2022 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Mar 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L13/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for text-to-speech with novel speakers can obtain text data and output audio data. The input text data may be input along with one or more speaker preferences. The speaker preferences can include speaker characteristics. The speaker preferences can be processed by a machine-learned model conditioned on a learned prior distribution to determine a speaker embedding. The speaker embedding can then be processed with the text data to generate an output that includes audio data descriptive of the text data spoken by a novel speaker.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.