Sub-partitioned vector quantization of probability density functions
US5535305A · kind A · utility
46Cited by
8References
25Claims
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Key dates
| Filing date | Dec 31, 1992 |
| Grant date | Jul 9, 1996 |
| Priority date | — |
| Expiry date | Dec 31, 2012 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A speech recognition memory compression method and apparatus subpartitions probability density function (pdf) space along the hidden Markov model (HMM) index into packets of typically 4 to 8 log-pdf values. Vector quantization techniques are applied using a logarithmic distance metric and a probability weighted logarithmic probability space for the splitting of clusters. Experimental results indicate a significant reduction in memory can be obtained with little increase in overall speech recognition error.
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