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:
Aug. 04, 2015

Filed:

Jan. 22, 2013
Applicant:

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

Inventors:

Diven Topiwala, Reading, GB;

Uwe Helmut Jost, Maidenhead, GB;

Lisa Meredith, Reading, GB;

Daniel Almendro Barreda, London, GB;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/32 (2013.01); G10L 15/26 (2006.01); G10L 15/22 (2006.01); G10L 15/08 (2006.01); G10L 15/183 (2013.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G10L 15/32 (2013.01); G10L 15/083 (2013.01); G10L 15/183 (2013.01); G10L 2015/227 (2013.01);
Abstract

Typical textual prediction of voice data employs a predefined implementation arrangement of a single or multiple prediction sources. Using a predefined implementation arrangement of the prediction sources may not provide a good prediction performance in a consistent manner with variations in voice data quality. Prediction performance may be improved by employing adaptive textual prediction. According to at least one embodiment determining a configuration of a plurality of prediction sources, used for textual interpretation of the voice data, is determined based at least in part on one or more features associated with the voice data or one or more a-priori interpretations of the voice data. A textual output prediction of the voice data is then generated using the plurality of prediction sources according to the determined configuration. Employing an adaptive configuration of the text prediction sources facilitates providing more accurate text transcripts of the voice data.


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