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. 21, 2026

Filed:

Dec. 11, 2023
Applicant:

Jpmorgan Chase Bank, N.a., New York, NY (US);

Inventors:

My Phung, Manhattan, NY (US);

Harsh Saiprasad Deshpande, Santa Clara, CA (US);

Ahmad Emami, New York, NY (US);

Assignee:

JPMorgan Chase Bank, N.A., New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2013.01); G10L 15/06 (2013.01); G10L 15/14 (2006.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G10L 15/063 (2013.01); G10L 15/14 (2013.01); G10L 2015/0631 (2013.01);
Abstract

Aspects of the subject disclosure may include, for example, generating a natural language processing model by training an automatic speech recognition (ASR) encoder with manual transcription. The training is performed by correcting and adjusting relevant factors of the ASR encoder based on determined triplet loss, classification loss and Kullback-Leibler divergence loss. In response to an ASR utterance, the trained natural language processing model generates a predicted intent associated with the ASR utterance with improved accuracy. Other embodiments are disclosed.


Find Patent Forward Citations

Phung, My. (2026). Natural language processing systems and methods for intent classification of speech transcription (U.S. Patent No. 12609113). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12609113

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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