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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.:

US 12094459 B1

PDFFull Text
Date of Patent:
Sep. 17, 2024

Filed:

Jan. 05, 2022

Automated domain-specific constrained decoding from speech inputs to structured resources

Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ashish R Mittal, Bangalore, IN;

Samarth Bharadwaj, Bangalore, IN;

Shreya Khare, Bangalore, IN;

Karthik Sankaranarayanan, Bangalore, IN;

Assignee:

International Business Machines Corporation, Armonk, NY (US);

Attorney:

Ryan, Mason & Lewis, LLP

Primary Examiner:

Richard Z Zhu

Int. Cl.
CPC ...
G10L 15/06 (2013.01); G06F 40/143 (2020.01); G06F 40/174 (2020.01); G06N 20/00 (2019.01); G10L 15/187 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01); G10L 19/00 (2013.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
G10L 15/187 (2013.01); G06F 40/143 (2020.01); G06F 40/174 (2020.01); G06N 20/00 (2019.01); G10L 15/063 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 19/00 (2013.01); H04L 67/10 (2013.01); G10L 2015/0633 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/223 (2013.01);
Abstract

Methods, systems, and computer program products for automated domain-specific constrained decoding from speech inputs to structured resources are provided herein. A computer-implemented method includes converting at least a portion of at least one user-provided speech utterance into text by processing the at least one user-provided speech utterance using an artificial intelligence-based automatic speech recognition model; automatically training an artificial intelligence-based decoding engine, wherein automatically training the artificial intelligence-based decoding engine comprising constraining the artificial intelligence-based decoding engine based at least in part on a domain-specific model and the artificial intelligence-based automatic speech recognition model; and generating at least one of one or more domain-specific text outputs related to one or more structured resources associated with the domain and one or more domain-specific action outputs related to the one or more structured resources associated with the domain by processing at least a portion of the text using the artificial intelligence-based decoding engine.

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