The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 28, 2010

Filed:

Oct. 12, 2006
Applicants:

Daniel E. Badt, Atlantis, FL (US);

Tomas Beran, Praha, CZ;

Radek Hampl, Praha, CZ;

Pavel Krbec, Praha, CZ;

Jan Sedivy, Praha, CZ;

Inventors:

Daniel E. Badt, Atlantis, FL (US);

Tomas Beran, Praha, CZ;

Radek Hampl, Praha, CZ;

Pavel Krbec, Praha, CZ;

Jan Sedivy, Praha, CZ;

Assignee:

Nuance Communications, Inc., Burlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention discloses a method for semantically processing speech for speech recognition purposes. The method can reduce an amount of memory required for a Viterbi search of an N-gram language model having a value of N greater than two and also having at least one embedded grammar that appears in a multiple contexts to a memory size of approximately a bigram model search space with respect to the embedded grammar. The method also reduces needed CPU requirements. Achieved reductions can be accomplished by representing the embedded grammar as a recursive transition network (RTN), where only one instance of the recursive transition network is used for the contexts. Other than the embedded grammars, a Hidden Markov Model (HMM) strategy can be used for the search space.


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