Title:
DEEP LEARNING-BASED COUGH RECOGNITION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/010232
Kind Code:
A1
Abstract:
Provided is a cough recognition method and device, which can detect cough sounds from an audio signal, and not only can detect coughs but also can track the location at which the cough sounds are generated by calculating the location of a sound source.
Inventors:
PARK YONG HWA (KR)
LEE GYEONG TAE (KR)
NAM HYEONUK (KR)
KIM SEONGHU (KR)
KIM YOUNG KEY (KR)
KIM IN KWON (KR)
LEE KWANG HYUN (KR)
LEE JAE SUN (KR)
PARK SUNG HYO (KR)
LEE GYEONG TAE (KR)
NAM HYEONUK (KR)
KIM SEONGHU (KR)
KIM YOUNG KEY (KR)
KIM IN KWON (KR)
LEE KWANG HYUN (KR)
LEE JAE SUN (KR)
PARK SUNG HYO (KR)
Application Number:
PCT/KR2021/008592
Publication Date:
January 13, 2022
Filing Date:
July 06, 2021
Export Citation:
Assignee:
KOREA ADVANCED INST SCI & TECH (KR)
SM INSTR CO LTD (KR)
SM INSTR CO LTD (KR)
International Classes:
G01S3/80; G06N3/08; G06T11/20
Foreign References:
| US10042038B1 | 2018-08-07 | |||
| KR20190084460A | 2019-07-17 | |||
| US20200015709A1 | 2020-01-16 | |||
| US20070276278A1 | 2007-11-29 | |||
| KR20200017940A | 2020-02-19 |
Attorney, Agent or Firm:
YANG, Sungbo (KR)
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