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:
Nov. 21, 2023

Filed:

May. 11, 2020
Applicant:

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

Inventors:

Prathap Ramachandra, Kirkland, WA (US);

Lan Ma, Seattle, WA (US);

Liu Yang, Seattle, WA (US);

Yi Qin, Seattle, WA (US);

Kyung Jae Lee, Seattle, WA (US);

Wenbo Yan, Seattle, WA (US);

Charlotte Alizerine Dzialo, Seattle, WA (US);

Darshan Ashok Fofadiya, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06F 40/279 (2020.01);
Abstract

Features are disclosed for training and using a word embedding model configured to receive textual and context data associated with an utterance of a user. A word embedding model can be trained with text data and context data to account for context associated with the text data. The word embedding model can receive an input vector including text data and one or more sets of context data associated with the text data and perform word embedding based on the input vector. In some embodiments, the input vector can include an automatic speech recognition ('ASR') confidence score generated by an ASR model and one or more labels generated by an NLU model. In some embodiments, the input vector can include user information associated with the user.


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