Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
- The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning field which has been explored is the prospect of a digital mass test which can detect COVID-19 from infected individuals’ respiratory sounds. We present a summary of the results from the INTERSPEECH 2021 Computational Paralinguistics Challenges: COVID-19 Cough, (CCS) and COVID-19 Speech, (CSS).
Metadaten| Author: | Harry Coppock, Alican Akman, Christian Bergler, Maurice GerczukORCiD, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin AmiriparianORCiDGND, Alice BairdGND, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton BatlinerORCiDGND, Cecilia Mascolo, Björn W. SchullerORCiDGND |
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| URN: | urn:nbn:de:bvb:384-opus4-1031074 |
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| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/103107 |
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| ISSN: | 2673-253XOPAC |
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| Parent Title (English): | Frontiers in Digital Health |
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| Publisher: | Frontiers Media S.A. |
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| Place of publication: | Lausanne |
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| Type: | Article |
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| Language: | English |
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| Date of first Publication: | 2023/03/08 |
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| Publishing Institution: | Universität Augsburg |
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| Release Date: | 2023/03/22 |
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| Tag: | COVID-19; Digital Health; computer audition; deep learning; machine learning |
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| Volume: | 5 |
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| First Page: | 1058163 |
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| DOI: | https://doi.org/10.3389/fdgth.2023.1058163 |
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| Institutes: | Fakultät für Angewandte Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing |
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| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
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| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung |
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