Method of determining model-specific factors for pattern recognition, in particular for speech patterns
US6456969B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 10, 1999 |
| Grant date | Sep 24, 2002 |
| Priority date | — |
| Expiry date | Aug 10, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/142
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for recognizing a pattern that comprises a set of physical stimuli, said method comprising the steps of:providing a set of training observations and through applying a plurality of association models ascertaining various measuring values pj(k|x), j=1 . . . M, that each pertain to assigning a particular training observation to one or more associated pattern classes;setting up a log/linear association distribution by combining all association models of the plurality according to respective weight factors, and joining thereto a normalization quantity to produce a compound association distribution;optimizing said weight factors for thereby minimizing a detected error rate of the actual assigning to said compound distribution;recognizing target observations representing a target pattern with the help of said compound distribution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.