Calculating cost measures between HMM acoustic models
US8234116B2 · kind B2 · utility
2Cited by
33References
16Claims
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Key dates
| Filing date | Aug 22, 2006 |
| Grant date | Jul 31, 2012 |
| Priority date | — |
| Expiry date | Jul 29, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/142
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Measurement of Kullback-Leibler Divergence (KLD) between hidden Markov models (HMM) of acoustic units utilizes an unscented transform to approximate KLD between Gaussian mixtures. Dynamic programming equalizes the number of states between HMMs having a different number of states, while the total KLD of the HMMs is obtained by summing individual KLDs calculated by state pair by state pair comparisons.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.