APPARATUS AND METHOD FOR IDENTIFYING ANIMAL SPECIES ROBUSTLY AGAINST NOISY ENVIRONMENT

Title:

APPARATUS AND METHOD FOR IDENTIFYING ANIMAL SPECIES ROBUSTLY AGAINST NOISY ENVIRONMENT

Document Type and Number:

WIPO Patent Application WO/2021/075709

Kind Code:

A1

Abstract:

In an apparatus and method for identifying animal species robustly against a noisy environment, an animal crying sound section is detected on the basis of crying sounds of animal species; noise is estimated on the basis of a section in which no animal crying sound exists and the noise is removed from a received sound; and then enhanced audio features are learned in spite of various kinds of noise, so as to enable identification of animal species. [Representative drawing] figure 1

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Inventors:

KO HANSEOK (KR)
LEE YOUNGLO (KR)
KIM DONGHYEON (KR)
PARK CHUNGHO (KR)
KIM JUNGMIN (KR)
KO KYUNGDEUK (KR)

Application Number:

PCT/KR2020/011673

Publication Date:

April 22, 2021

Filing Date:

September 01, 2020

Export Citation:

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Assignee:

UNIV KOREA RES & BUS FOUND (KR)

International Classes:

G10L17/26; G10L15/20; G10L25/18; G10L25/90

Foreign References:

JP2016143042A	2016-08-08
KR20110066429A	2011-06-17
KR20190110939A	2019-10-01
KR20050051435A	2005-06-01
US20170061978A1	2017-03-02

Other References:

QIUQIANG KONG; YONG XU; IWONA SOBIERAJ; WENWU WANG; MARK D. PLUMBLEY: "Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 12 April 2018 (2018-04-12), 201 Olin Library Cornell University Ithaca, NY 14853, XP081127955, DOI: 10.1109/TASLP.2019.2895254

Attorney, Agent or Firm:

YUN, Kuisang (KR)

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