Matthias Echternach

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Germany

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Matthias Echternach is a Professor at Ludwig Maximilian University of Munich, Germany. His research focuses on vocal stability, voice parameters, and the application of machine learning in assessing hoarseness severity. He has published several articles examining the effects of hydration on voice, the dynamics of wind instruments, and techniques in vocal health and onset. His work integrates advanced methodologies, including high-speed videoendoscopy and acoustic signal analysis.

Recent Grants

Grant: Close

Aerosol dispersion

Open Date: 2020-08-01

Close Date: 2022-10-01

Grant: Close

High Speed Digital Imaging

Open Date: 2017-09-01

Close Date: 2020-08-01

Grant: Close

High Speed Digital Imaging

Open Date: 2013-05-01

Close Date: 2016-12-01

Grant: Close

Dynamic Real Time MRI

Open Date:

Close Date:

Articles (20)

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Collaborators (3)

John Doe

Professor of Computer Science

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GLOBAL

John Doe

Professor of Computer Science

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GLOBAL

John Doe

Professor of Computer Science

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GLOBAL
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