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This presentation is about my industrial internship tasks at HEAD acoustics GmbH in the Sound Vibration Perception (SVP) department, with a focus on the development and utilization of a neural network for tonality prediction. During my internship, the neural network, designed to accelerate tonality calculations, achieved a nearly twofold increase in speed compared to the […] |
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Research in historical musical acoustics has traditionally emphasized instrument fabrication, material choices, and construction impact. Similarly, musicological, theatrical, and religious studies have delved into various aspects of historical contexts. However, little attention has been given to acoustical conditions crucial for human-to-human communication in these scenarios. Recent advancements in computational accuracy and virtual reality simulations, inspired […] |
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Directional scattering patterns of surface contain much more detail information than the single number quantities of scattering and diffusion coefficients. In the development of acoustic computer simulation, more accurate results and natural sound perception of auralization requires more detail information about sound propagation. In this study, two methods are used for spatial clustering of scattered […] |
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This thesis focuses on investigating the effects of atmospheric attenuation when employing scale models, with the ultimate goal of improving their application in the study of noise in urban regions. While direct measurements within urban regions are feasible, they may encounter problems, such as noise. For those reasons, there has been a resurgence of interest […] |
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Akustik-Forschung
