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:
Mar. 21, 2006

Filed:

Dec. 19, 2002
Applicants:

Ellen Marie Eide, Mount Kisco, NY (US);

Ramesh Ambat Gopinath, Millwood, NY (US);

Dimitri Kanevsky, Ossining, NY (US);

Peder Andreas Olsen, New York, NY (US);

Inventors:

Ellen Marie Eide, Mount Kisco, NY (US);

Ramesh Ambat Gopinath, Millwood, NY (US);

Dimitri Kanevsky, Ossining, NY (US);

Peder Andreas Olsen, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A characteristic-specific digitization method and apparatus are disclosed that reduces the error rate in converting input information into a computer-readable format. The input information is analyzed and subsets of the input information are classified according to whether the input information exhibits a specific physical parameter affecting recognition accuracy. If the input information exhibits the specific physical parameter affecting recognition accuracy, the characteristic-specific digitization system recognizes the input information using a characteristic-specific recognizer that demonstrates improved performance for the given physical parameter. If the input information does not exhibit the specific physical parameter affecting recognition accuracy, the characteristic-specific digitization system recognizes the input information using a general recognizer that performs well for typical input information. In one implementation, input speech having very low recognition accuracy as a result of a physical speech characteristic is automatically identified and recognized using a characteristic-specific speech recognizer.


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