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:
Apr. 28, 2020

Filed:

Apr. 29, 2016
Applicant:

Goodix Technology (Hk) Company Limited, Hong Kong, HK;

Inventors:

Daniele Battaglino, Alpes-Maritimes, FR;

Ludovick Lepauloux, Cannes, FR;

Laurent Pilati, Biot, FR;

Nicholas Evans, Valbonne, FR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G10L 25/48 (2013.01); G10L 25/18 (2013.01); G10L 21/06 (2013.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G10L 19/02 (2013.01); G10L 21/10 (2013.01); G10L 21/0232 (2013.01); G06K 9/46 (2006.01); G10L 19/00 (2013.01);
U.S. Cl.
CPC ...
G06N 5/047 (2013.01); G06K 9/00523 (2013.01); G06K 9/6269 (2013.01); G06N 20/00 (2019.01); G10L 19/02 (2013.01); G10L 21/06 (2013.01); G10L 21/10 (2013.01); G10L 25/18 (2013.01); G10L 25/48 (2013.01); G06K 2009/4666 (2013.01); G10L 21/0232 (2013.01); G10L 2019/0004 (2013.01);
Abstract

Various exemplary aspects are directed to acoustic context recognition apparatuses and methods involving isolating and identifying context(s) of an acoustic environment. In one exemplary embodiment, source audio is converted into audio spectrograms, each spectrogram indicative of a period of time. The series of spectrograms are analyzed to identify audio patterns, over a period of time, which are indicative of an environmental context of the source audio. In many embodiments of the present disclosure, acoustic context recognition also includes comparing the identified audio patterns to known environmental contexts.


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