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. 25, 2019

Filed:

Jan. 30, 2017
Applicant:

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

Inventors:

Hugh Evan Secker-Walker, Newburyport, MA (US);

Baiyang Liu, Bellevue, WA (US);

Frederick Victor Weber, New York, NY (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/26 (2006.01); G10L 15/30 (2013.01); G10L 17/06 (2013.01); G10L 17/12 (2013.01); G10L 17/02 (2013.01); G10L 17/16 (2013.01); G10L 15/18 (2013.01); G10L 17/22 (2013.01); G10L 15/20 (2006.01); G10L 15/02 (2006.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 17/06 (2013.01); G10L 15/18 (2013.01); G10L 17/02 (2013.01); G10L 17/12 (2013.01); G10L 17/16 (2013.01); G10L 17/22 (2013.01); G10L 15/20 (2013.01); G10L 15/26 (2013.01); G10L 2015/025 (2013.01); G10L 2015/088 (2013.01);
Abstract

Features are disclosed for automatically identifying a speaker. Artifacts of automatic speech recognition ('ASR') and/or other automatically determined information may be processed against individual user profiles or models. Scores may be determined reflecting the likelihood that individual users made an utterance. The scores can be based on, e.g., individual components of Gaussian mixture models ('GMMs') that score best for frames of audio data of an utterance. A user associated with the highest likelihood score for a particular utterance can be identified as the speaker of the utterance. Information regarding the identified user can be provided to components of a spoken language processing system, separate applications, etc.


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