An acoustic analysis of vowels to predict voice changes in a long reading task

Martin Hagmüller; Julian Linke; Simon Julian Lohrmann; Florian B. Pokorny; Barbara Schuppler

doi:10.36253/979-12-215-0146-9

An acoustic analysis of vowels to predict voice changes in a long reading task

Martin Hagmüller^*, Julian Linke, Simon Julian Lohrmann, Florian B. Pokorny, Barbara Schuppler

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Signalverarbeitung und Sprachkommunikation (4420)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Originalsprache	englisch
Titel	Models and Analysis of Vocal Emissions for Biomedical Applications
Untertitel	13th International Workshop, September, 12-13, 2023
Redakteure/-innen	Claudia Manfredi
Herausgeber (Verlag)	Firenze University Press
Seiten	23-26
ISBN (elektronisch)	979-12-215-0146-9
ISBN (Print)	979-12-215-0145-2
DOIs	https://doi.org/10.36253/979-12-215-0146-9
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	13th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications: MAVEBA 2023 - Firenze, Italien Dauer: 12 Sept. 2023 → 13 Sept. 2023 http://maveba.dinfo.unifi.it/

Workshop

Workshop	13th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications
Land/Gebiet	Italien
Ort	Firenze
Zeitraum	12/09/23 → 13/09/23
Internetadresse	http://maveba.dinfo.unifi.it/

Zugriff auf Dokument

10.36253/979-12-215-0146-9Lizenz: CC BY 4.0

An acoustic analysis of vowels to predict voice changes in a long reading task
Martin Hagmüller (Redner/in)
30 Sept. 2013
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Dieses zitieren

Hagmüller, M., Linke, J., Lohrmann, S. J., Pokorny, F. B., & Schuppler, B. (2023). An acoustic analysis of vowels to predict voice changes in a long reading task. in C. Manfredi (Hrsg.), Models and Analysis of Vocal Emissions for Biomedical Applications: 13th International Workshop, September, 12-13, 2023 (S. 23-26). Firenze University Press. https://doi.org/10.36253/979-12-215-0146-9

An acoustic analysis of vowels to predict voice changes in a long reading task. / Hagmüller, Martin ; Linke, Julian; Lohrmann, Simon Julian et al.
Models and Analysis of Vocal Emissions for Biomedical Applications: 13th International Workshop, September, 12-13, 2023. Hrsg. / Claudia Manfredi. Firenze University Press, 2023. S. 23-26.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Hagmüller, M , Linke, J, Lohrmann, SJ, Pokorny, FB & Schuppler, B 2023, An acoustic analysis of vowels to predict voice changes in a long reading task. in C Manfredi (Hrsg.), Models and Analysis of Vocal Emissions for Biomedical Applications: 13th International Workshop, September, 12-13, 2023. Firenze University Press, S. 23-26, 13th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Firenze, Italien, 12/09/23. https://doi.org/10.36253/979-12-215-0146-9

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title = "An acoustic analysis of vowels to predict voice changes in a long reading task",

author = "Martin Hagm{\"u}ller and Julian Linke and Lohrmann, {Simon Julian} and Pokorny, {Florian B.} and Barbara Schuppler",

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doi = "10.36253/979-12-215-0146-9",

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note = "13th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications : MAVEBA 2023 ; Conference date: 12-09-2023 Through 13-09-2023",

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AU - Lohrmann, Simon Julian

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PY - 2023

Y1 - 2023

U2 - 10.36253/979-12-215-0146-9

DO - 10.36253/979-12-215-0146-9

M3 - Conference paper

SN - 979-12-215-0145-2

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BT - Models and Analysis of Vocal Emissions for Biomedical Applications

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T2 - 13th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications

Y2 - 12 September 2023 through 13 September 2023

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An acoustic analysis of vowels to predict voice changes in a long reading task

Workshop

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Aktivitäten

An acoustic analysis of vowels to predict voice changes in a long reading task

Dieses zitieren