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:
Jan. 04, 2022

Filed:

May. 08, 2018
Applicant:

Facebook Technologies, Llc, Menlo Park, CA (US);

Inventors:

Adam Berenzweig, Brooklyn, NY (US);

Patrick Kaifosh, New York, NY (US);

Alan Huan Du, New York, NY (US);

Jeffrey Scott Seely, New York, NY (US);

Assignee:

Facebook Technologies, LLC, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G10L 15/14 (2006.01); G10L 15/26 (2006.01); G10L 15/24 (2013.01);
U.S. Cl.
CPC ...
G06F 3/015 (2013.01); G10L 15/14 (2013.01); G10L 15/24 (2013.01); G10L 15/26 (2013.01);
Abstract

Systems and methods for using neuromuscular information to improve speech recognition. The system includes a plurality of neuromuscular sensors arranged on one or more wearable devices and configured to continuously record a plurality of neuromuscular signals from a user, at least one storage device configured to store one or more trained statistical models for determining text based on audio input and the plurality of neuromuscular signals, at least one input interface configured to receive the audio input, and at least one computer processor programmed to obtain the audio input and the plurality of neuromuscular signals, provide as input to the one or more trained statistical models, the audio input and the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, and determine based, at least in part, on an output of the one or more trained statistical models, the text.


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