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:
Jun. 29, 2021

Filed:

Mar. 17, 2017
Applicant:

Fluent.ai Inc., Montreal, CA;

Inventors:

Vikrant Tomar, Montreal, CA;

Vincent P. G. Renkens, Herent, BE;

Hugo R. J. G. Van Hamme, Leuven, BE;

Assignee:

Fluent.ai Inc., Montreal, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 19/00 (2013.01); G06F 15/16 (2006.01); G06F 17/16 (2006.01); G06F 17/50 (2006.01); G06F 15/18 (2006.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01); G10L 15/07 (2013.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/07 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/223 (2013.01);
Abstract

There is provided a system and method for processing and/or recognizing acoustic signals. The method comprises obtaining at least one pre-existing speech recognition model; adapting and/or training the at least one pre-existing speech recognition model incrementally when new, previously unseen, user-specific data is received, the data comprising input acoustic signals and/or user action demonstrations and/or semantic information about a meaning of the acoustic signals, wherein the at least one model is incrementally updated by associating new input acoustic signals with input semantic frames to enable recognition of changed input acoustic signals. The method further comprises adapting to a user's vocabulary over time by learning new words and/or removing words no longer being used by the user, generating a semantic frame from an input acoustic signal according to the at least one model, and mapping the semantic frame to a predetermined action.


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