Deep learning approach for dysphagia detection by syllable-based speech analysis with daily conversations
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Deep learning approach for dysphagia detection by syllable-based speech analysis with daily conversations ; volume:14 ; number:1 ; day:31 ; month:8 ; year:2024 ; pages:1-9 ; date:12.2024
Scientific reports ; 14, Heft 1 (31.8.2024), 1-9, 12.2024
- Urheber
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Heo, Seokhyeon
Uhm, Kyeong Eun
Yuk, Doyoung
Kwon, Bo Mi
Yoo, Byounghyun
Kim, Jisoo
Lee, Jongmin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41598-024-70774-z
- URN
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urn:nbn:de:101:1-2411170012203.641212049079
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
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Beteiligte
- Heo, Seokhyeon
- Uhm, Kyeong Eun
- Yuk, Doyoung
- Kwon, Bo Mi
- Yoo, Byounghyun
- Kim, Jisoo
- Lee, Jongmin
- SpringerLink (Online service)
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