The Summer School on Machine Learning & Numerics for Acoustics will take place from 19.09.2024 – 20.09.2024 at the University of Oldenburg, Germany. It provides a great opportunity for Master and PhD students to broaden their understanding in machine learning and numerical methods relevant in cutting-edge hearing research.

The Summer School give also insights into the current research addressed in the collaborative research centre (CRC) Hearing acoustics (coordinator: Prof. Dr. Volker Hohmann) at the University of Oldenburg - School of Medicine and Health sciences – Dept. of Medical Physics and Acoustics dedicated to advance our understanding of auditory perception in complex acoustic environments and to improve acoustic communication in such difficult environments.

The PIs of the CRC areas Algorithms and Applications will give lecture talks on following topics:

• Deep Learning Architectures for Speech Processing (Bernd Meyer)
• Deep and Non-Deep Machine Learning Methods, Their Properties and Their Comparison (Jörg Lücke)
• Deep Noise Suppression (Jörn Anemüller)
• Model-based and Learning-based Approaches for Speech Enhancement (Simon Doclo)
• Ear Canal Acoustics Beyond Cylindrical Tubes – Mathematical Models, Numerical Simulation and Applications (Alexey Chernov and Matthias Blau)
• Anthropomorphic and Learning-based Approaches for Speaker Localization (Steven van de Par)

Accompanying  the lecture talks, Bernd Meyer will offer a hands-on exercise on „Convolutional and recurrent networks for speech processing”.