Patent · US Expired

Speech recognition method with language model adaptation

US6157912A · kind A · utility

78Cited by

6References

17Claims

0Family size

Assignee

U.S. Philips Corporation · US

Inventors

Reinhard Kneser · Aachen, DE
Jochen Peters · Norderstedt, DE
Dietrich Klakow · Aachen, DE

Key dates

Filing date	Mar 2, 1998
Grant date	Dec 5, 2000
Priority date	—
Expiry date	Mar 2, 2018

Classification

Technology area (CPC G)Physics
CPC primaryG10L15/183
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Language models which take into account the probabilities of word sequences are used in speech recognition, in particular in the recognition of fluently spoken language with a wide vocabulary, in order to increase the recognition reliability. These models are obtained from comparatively large quantities of text and accordingly represent values which were averaged over several texts. This means, however, that the language model is not well adapted to peculiarities of a special text. To achieve such an adaptation of a given language model to a special text on the basis of only a short text fragment, according to the invention, it is suggested that first the unigram language model is adapted with the short text and, in dependence thereon, the M-gram language model is subsequently adapted. A method is described for adapting the unigram language model values which automatically carries out a subdivision of the words into semantic classes.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.