Automatic determination of labels and Markov word models in a speech recognition system
US5072452A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Nov 2, 1989 |
| Grant date | Dec 10, 1991 |
| Priority date | — |
| Expiry date | Nov 2, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In a Markov model speech recognition system, an acoustic processor generates one label after another selected from an alphabet of labels. Each vocabulary word is represented as a baseform constructed of a sequence of Markov models. Each Markov model is stored in a computer memory as (a) a plurality of states; (b) a plurality of arcs, each extending from a state to a state with a respective stored probability; and (c) stored label output probabilities, each indicating the likelihood of a given label being produced at a certain arc. Word likelihood based on acoustic characteristics is determined by matching a string of labels generated by the acoustic processor against the probabilities stored for each word baseform. Improved models of words are obtained by specifying label parameters and constructing word baseforms interdependently and iteratively.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.