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:
Oct. 08, 2024

Filed:

Mar. 07, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Rahul Gupta, Waltham, MA (US);

Jwala Dhamala, Sunnyvale, CA (US);

Apurv Verma, Up, IN;

Qingwen Ye, Boston, MA (US);

Mayur Himmatbhai Dabhi, Medford, MA (US);

Srinivasan Rengarajan Veeravanallur, Sharon, MA (US);

Spyridon Matsoukas, Hopkinton, MA (US);

Melanie C B Gens, Honolulu, HI (US);

Seyed Omid Razavi, Austin, TX (US);

Avni Khatri, Stow, MA (US);

Premkumar Natarajan, Rolling Hills Estates, CA (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/01 (2013.01); G10L 15/06 (2013.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G10L 15/01 (2013.01); G10L 15/063 (2013.01); G10L 15/08 (2013.01); G10L 2015/0631 (2013.01); G10L 2015/223 (2013.01);
Abstract

Devices and techniques are generally described for cohort determination in natural language processing. In various examples, a first natural language input to a natural language processing system may be determined. The first natural language input may be associated with a first account identifier. A first machine learning model may determine first data representing one or more words of the first natural language input. A second machine learning model may determine second data representing one or more acoustic characteristics of the first natural language input. Third data may be determined, the third data including a predicted performance for processing the first natural language input by the natural language processing system. The third data may be determined based on the first data representation and the second data representation.


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