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.
Patent No.:
Date of Patent:
Feb. 11, 2014
Filed:
Jul. 31, 2011
Jonathan Mamou, Jerusalem, IL;
Abhinav Sethy, Chappaqua, NY (US);
Bhuvana Ramabhadran, Mount Kisco, NY (US);
Ron Hoory, Haifa, IL;
Paul Joseph Vozila, Arlington, MA (US);
Nathan Bodenstab, Winchester, OR (US);
Jonathan Mamou, Jerusalem, IL;
Abhinav Sethy, Chappaqua, NY (US);
Bhuvana Ramabhadran, Mount Kisco, NY (US);
Ron Hoory, Haifa, IL;
Paul Joseph Vozila, Arlington, MA (US);
Nathan Bodenstab, Winchester, OR (US);
Nuance Communications, Inc., Burlington, MA (US);
Abstract
Techniques disclosed herein include systems and methods for voice-enabled searching. Techniques include a co-occurrence based approach to improve accuracy of the 1-best hypothesis for non-phrase voice queries, as well as for phrased voice queries. A co-occurrence model is used in addition to a statistical natural language model and acoustic model to recognize spoken queries, such as spoken queries for searching a search engine. Given an utterance and an associated list of automated speech recognition n-best hypotheses, the system rescores the different hypotheses using co-occurrence information. For each hypothesis, the system estimates a frequency of co-occurrence within web documents. Combined scores from a speech recognizer and a co-occurrence engine can be combined to select a best hypothesis with a lower word error rate.