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:
Apr. 03, 2012

Filed:

Jun. 01, 2011
Applicants:

Robert A. Kennewick, Seattle, WA (US);

Min KE, Bothell, WA (US);

Michael Tjalve, Bellevue, WA (US);

Philippe Di Cristo, Bellevue, WA (US);

Inventors:

Robert A. Kennewick, Seattle, WA (US);

Min Ke, Bothell, WA (US);

Michael Tjalve, Bellevue, WA (US);

Philippe Di Cristo, Bellevue, WA (US);

Assignee:

VoiceBox Technologies, Inc., Bellevue, WA (US);

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

The system and method described herein may provide an acoustic grammar to dynamically sharpen speech interpretation. In particular, the acoustic grammar may be used to map one or more phonemes identified in a user verbalization to one or more syllables or words, wherein the acoustic grammar may have one or more linking elements to reduce a search space associated with mapping the phonemes to the syllables or words. As such, the acoustic grammar may be used to generate one or more preliminary interpretations associated with the verbalization, wherein one or more post-processing techniques may then be used to sharpen accuracy associated with the preliminary interpretations. For example, a heuristic model may assign weights to the preliminary interpretations based on context, user profiles, or other knowledge and a probable interpretation may be identified based on confidence scores associated with one or more candidate interpretations generated with the heuristic model.

Published as:
US2007055525A1; WO2007027989A2; WO2007027989A3; EP1934971A2; US7634409B2; US2010049501A1; US2010049514A1; EP1934971A4; US7983917B2; US2011231188A1; US8069046B2; US8150694B2;

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