Rich context modeling for text-to-speech engines
US8340965B2 · kind B2 · utility
3Cited by
12References
23Claims
0Family size
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Key dates
| Filing date | Dec 2, 2009 |
| Grant date | Dec 25, 2012 |
| Priority date | — |
| Expiry date | Apr 5, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L13/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of rich context modeling for speech synthesis are disclosed. In operation, a text-to-speech engine refines a plurality of rich context models based on decision tree-tied Hidden Markov Models (HMMs) to produce a plurality of refined rich context models. The text-to-speech engine then generates synthesized speech for an input text based at least on some of the plurality of refined rich context models.
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