Method for training of subspace coded gaussian models
US7571097B2 · kind B2 · utility
1Cited by
13References
34Claims
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Key dates
| Filing date | Mar 13, 2003 |
| Grant date | Aug 4, 2009 |
| Priority date | — |
| Expiry date | Feb 27, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/285
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for compressing multiple dimensional gaussian distributions with diagonal covariance matrixes includes clustering a plurality of gaussian distributions in a multiplicity of clusters for each dimension. Each cluster can be represented by a centroid having a mean and a variance. A total decrease in likelihood of a training dataset is minimized for the representation of the plurality of gaussian distributions.
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