Adaptation of language models and context free grammar in speech recognition
US7925505B2 · kind B2 · utility
18Cited by
27References
18Claims
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Key dates
| Filing date | Apr 10, 2007 |
| Grant date | Apr 12, 2011 |
| Priority date | — |
| Expiry date | Jan 2, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Architecture is disclosed herewith for minimizing an empirical error rate by discriminative adaptation of a statistical language model in a dictation and/or dialog application. The architecture allows assignment of an improved weighting value to each term or phrase to reduce empirical error. Empirical errors are minimized whether a user provides correction results or not based on criteria for discriminatively adapting the user language model (LM)/context-free grammar (CFG) to the target. Moreover, algorithms are provided for the training and adaptation processes of LM/CFG parameters for criteria optimization.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.