Patent · US Expired

Method and apparatus for an adaptive speech recognition system utilizing HMM models

US7003460B1 · kind B1 · utility

32Cited by

8References

8Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Udo Bub · Hersbruck, DE
Harald Höge · Gauting, DE

Key dates

Filing date	May 3, 1999
Grant date	Feb 21, 2006
Priority date	—
Expiry date	May 3, 2019

Classification

Technology area (CPC G)Physics
CPC primaryG10L15/144
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In speech recognition, phonemes of a language are modelled by a hidden Markov model, whereby each status of the hidden Markov model is described by a probability density function. For speech recognition of a modified vocabulary, the probability density function is split into a first and into a second probability density function. As a result thereof, it is possible to compensate variations in the speaking habits of a speaker or to add a new word to the vocabulary of the speech recognition unit and thereby assure that this new word is distinguished with adequate quality from the words already present in the speech recognition unit and is thus recognized.

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