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:
Jul. 28, 2020

Filed:

May. 21, 2018
Applicant:

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

Inventors:

Srinivas Bangalore, Morristown, NJ (US);

Robert Bell, Berkeley Heights, NJ (US);

Diamantino Antonio Caseiro, Philadelphia, PA (US);

Mazin Gilbert, Warren, NJ (US);

Patrick Haffner, Atlantic Highlands, NJ (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/183 (2013.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G10L 15/065 (2013.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/183 (2013.01); G10L 15/06 (2013.01); G10L 15/065 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/0636 (2013.01); G10L 2015/228 (2013.01);
Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating domain-specific speech recognition models for a domain of interest by combining and tuning existing speech recognition models when a speech recognizer does not have access to a speech recognition model for that domain of interest and when available domain-specific data is below a minimum desired threshold to create a new domain-specific speech recognition model. A system configured to practice the method identifies a speech recognition domain and combines a set of speech recognition models, each speech recognition model of the set of speech recognition models being from a respective speech recognition domain. The system receives an amount of data specific to the speech recognition domain, wherein the amount of data is less than a minimum threshold to create a new domain-specific model, and tunes the combined speech recognition model for the speech recognition domain based on the data.


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