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1
Nocturnal Cough and Snore Detection Using Smartphones in Pr..:
, In:
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies
,
Vhaduri, Sudip
- p. 174-186 , 2020
Link:
https://dl.acm.org/doi/10.1145/3378393.3402273
RT T1 <cTitle>Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies</cTitle>: T1 <Title>Nocturnal Cough and Snore Detection Using Smartphones in Presence of Multiple Background-Noises</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3402273&Exemplar=1&LAN=DE A1 Vhaduri, Sudip PB ACM YR 2020 K1 MFCC features K1 audio analytics K1 binary-classification K1 cough K1 mobile health K1 noise K1 smartphone K1 snore K1 Human-centered computing K1 Ubiquitous and mobile computing K1 Ubiquitous and mobile devices K1 Smartphones K1 Human computer interaction (HCI) K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Interaction devices K1 Sound-based input/output SP 174 OP 186 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3378393.3402273 DO https://dl.acm.org/doi/10.1145/3378393.3402273 SF ELIB - SuUB Bremen
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