Machine Learning for Acoustics
Machine learning offers new ways to analyze, model, and interpret sound. The focus of this school is on the different aspects of machine learning, from fundamental concepts to practical applications. It is designed for anyone working in acoustics: whether you are working in audio signal processing, environmental noise, building and room acoustics, or any other area. Through lectures and tutorials, you will explore supervised and unsupervised learning and advanced techniques tailored to acoustic challenges.
The goal is to provide you with the knowledge and tools to integrate machine learning into your own work.
A basic familiarity with Python programming is required for the tutorials and should be gained in preparation for the school.
