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:
Jun. 19, 2018

Filed:

Sep. 17, 2010
Applicants:

Srinivas Bangalore, Morristown, NJ (US);

Junlan Feng, Basking Ridge, NJ (US);

Michael Johnston, New York, NY (US);

Taniya Mishra, New York, NY (US);

Inventors:

Srinivas Bangalore, Morristown, NJ (US);

Junlan Feng, Basking Ridge, NJ (US);

Michael Johnston, New York, NY (US);

Taniya Mishra, New York, NY (US);

Assignee:

NUANCE COMMUNICATIONS, INC., Burlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2013.01); G10L 25/54 (2013.01); G10L 25/63 (2013.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G10L 15/1807 (2013.01); G10L 25/54 (2013.01); G10L 25/63 (2013.01); G10L 2015/226 (2013.01); G10L 2015/227 (2013.01);
Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating relevant responses to a user query with voice-enabled search. A system practicing the method receives a word lattice generated by an automatic speech recognizer based on a user speech and a prosodic analysis of the user speech, generates a reweighted word lattice based on the word lattice and the prosodic analysis, approximates based on the reweighted word lattice one or more relevant responses to the query, and presents to a user the responses to the query. The prosodic analysis examines metalinguistic information of the user speech and can identify the most salient subject matter of the speech, assess how confident a speaker is in the content of his or her speech, and identify the attitude, mood, emotion, sentiment, etc. of the speaker. Other information not described in the content of the speech can also be used.


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