Kaseß, Dr. Christian
Research Scientist
Physical and Computational Acoustics
Acoustics Research Institute
India
Biography
Christian Kasess studied electrical engineering at the Technical University of Graz (Diploma: Estimation of Time-Variant Multivariate Autoregressive Models using Kalman Filtering). After this he studied physics at the University of North Carolina finishing working on a model for frequency sweep direction selectivity in primary auditory cortex. In 2009 he finished his PhD in Medical Physics at the Medical University of Vienna working on brain connectivity models (Thesis: Investigations into Effective Connectivity using Dynamic Causal Modeling based on Functional MRI). He started working at the Acoustics Research Institute in September 2010.
Research Interest
The main areas of research at ARI concern environmental noise and the mitigation thereof as well as speech production models. Specifically, the following topics are of interest: Simulation of noise barriers using the 2.5D boundary element methods Efficient quadrature for 2.5D boundary element calculations Psychoacoustic evaluation of railway and road traffic noise as well as noise reduction methods Estimation of the vocal tract geometry from speech samples, in particular nasal stops, using an estimation scheme based on variational Bayes
Publications
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Waubke, H., Kasess, C. H. (2017): Gaussian closure technique fo chain like structures with elasto-plastic elements described by the Bouc hysteresis, in: Journal of Sound and Vibration, 73-86. (article) BibTex
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Kasess, C.H (2017): Time-Frequency Multitaper Methods Applied to Rumble Strip Noise, in: Proceedings of SampTA 2017. Tallinn, Estonia (proceedings) BibTex
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Kasess, C.H., Maly, T., Majdak, P., Waubke, H. (2017): The relation between psychoacoustical factors and annoyance under different noise reduction conditions for railway noise, in: Journal of the Acoustical Society of America 141 (5). (article) BibTex
