Constructing Markov models of words from multiple utterances
US4759068A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 1985 |
| Grant date | Jul 19, 1988 |
| Priority date | — |
| Expiry date | May 29, 2005 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Speech recognition is improved by splitting each feneme string at a consistent point into a left portion and a right portion. The present invention addresses the problem of constructing fenemic baseforms which take into account variations in pronunciation of words from one utterance thereof to another. Specifically, the invention relates to a method of constructing a fenemic baseform for a word in a vocabulary of word segments including the steps of: (a) transforming multiple utterances of the word into respective strings of fenemes; (b) defining a set of fenemic Markov model phone machines; (c) determining the best single phone machine P.sub.1 for producing the multiple feneme strings; (d) determining the best two phone baseform of the form P.sub.1 P.sub.2 or P.sub.2 P.sub.1 for producing the multiple feneme strings; (e) aligning the best two phone baseform against each feneme string; (f) splitting each feneme string into a left portion and a right portion with the left portion corresponding to the first phone machine of the two phone baseform and the right portion corresponding to the second phone machine of the two phone baseform; (g) identifying each left portion as a left subs…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.