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. 08, 2022

Filed:

Nov. 18, 2019
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Motors Corporation, Seoul, KR;

Iucf-hyu (Industry-university Cooperation Foundation Hanyang University), Seoul, KR;

Inventors:

Dong-Chul Lee, Anyang-si, KR;

In-Soo Jung, Suwon-si, KR;

Joon-Hyuk Chang, Seoul, KR;

Kyoung-Jin Noh, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/30 (2013.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G10L 25/30 (2013.01);
Abstract

A noise data artificial intelligence learning method for identifying the source of problematic noise may include a noise data pre-conditioning method for identifying the source of problematic noise including: selecting a unit frame for the problematic noise among noises sampled with time; dividing the unit frame into N segments; analyzing frequency characteristic for each segment of the N segments and extracting a frequency component of each segment by applying Log Mel Filter; and outputting a feature parameter as one representative frame by averaging information on the N segments, wherein an artificial intelligence learning by the feature parameter extracted according to a change in time by the noise data pre-conditioning method applies Bidirectional RNN.


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