Paul Bereuter- Master of Science
- PhD Student at University of Music and Performing Arts Graz
Paul Bereuter
- Master of Science
- PhD Student at University of Music and Performing Arts Graz
Institute of Electronic Music and Acoustics @ University of Music and Performing Arts, Graz
About
4
Publications
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Introduction
Paul Bereuter studied Electrical Engineering and Audio Engineering at the University of Music and Performing Arts in cooperation with the Graz University of Technology. He finished his Bachelor's degree in Feburary 2019 and his Master's degree in January 2022. He is currently working as a research assistant at the Institute of Electronic Music and Acoustics (IEM) at the University of Music and Performing Arts in Graz.
Current institution
Publications
Publications (4)
Separating a musical audio mixture into audio tracks produced by individual instruments is a task which, if executed with sufficient quality, holds many benefits for other audio applications. Nowadays, the state of the art approaches are mostly based on neural networks. In this work a already established neural network based musical source separati...
In singing, the perceptual term “voice quality” is used to describe expressed emotions and singing styles. In voice physiology research, specific voice qualities are discussed by the term phonation modes and are related directly to the voicing produced by the vocal folds. The control and awareness of phonation modes is vital for professional singer...
Voice disorders due to strenuous usage of unhealthy voice qualities are a common problem in professional singing. In order to minimize the risk of these voice disorders, vital feedback can be given by making aware of one's sung voice quality. This work presents the design task of a vowel and voice quality indication tool which can enable such a fee...
The constant-Q transform (CQT) is a valuable tool for music information retrieval, e.g. for chroma calculation and harmonic analysis. In this E-Brief, we propose a block based, real-time capable, efficient analysis algorithm resting upon a subsampling technique performed with fast Fourier transform. In addition, advanced features such as time resol...
