Constrained line search optimization for discriminative training of HMMS
US8239332B2 · kind B2 · utility
1Cited by
7References
20Claims
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Key dates
| Filing date | Nov 20, 2007 |
| Grant date | Aug 7, 2012 |
| Priority date | — |
| Expiry date | Mar 9, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An exemplary method for optimizing a continuous density hidden Markov model (CDHMM) includes imposing a constraint for discriminative training, approximating an objective function as a smooth function of CDHMM parameters and performing a constrained line search on the smoothed function to optimize values of the CDHMM parameters. Various other methods, devices and systems are disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.