A Machine Learning-Driven Interactive Training System for Extreme Vocal Techniques

Author:

Holzinger Johanna1ORCID,Heimerl Alexander1ORCID,Schlagowski Ruben1ORCID,André Elisabeth1ORCID,Mertes Silvan1ORCID

Affiliation:

1. Chair for Human-Centered Artificial Intelligence, University of Augsburg, DE

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Reference20 articles.

1. Mathias Aaen, Julian McGlashan, Noor Christoph, and Cathrine Sadolin. 2021. Extreme vocal effects distortion, growl, grunt, rattle, and creaking as measured by electroglottography and acoustics in 32 healthy professional singers. Journal of Voice (2021).

2. Extreme Vocals—A Retrospective Longitudinal study of Vocal Health in 20 Professional Singers Performing and Teaching Rough Vocal Effects

3. Anjok07 and other contributors. 2023. Gui for a Vocal Remover that Uses Deep Neural Networks. https://github.com/Anjok07/ultimatevocalremovergui

4. Examining self-efficacy during learning: variability and relations to behavior, performance, and learning

5. Can singing with rasp be a healthy practice?Distúrb Comun;Fiuza Mauro Barro;São Paulo,2018

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