In the InALab Models & Systems we provide descriptions for acoustic systems by means of adequate and robust modeling techniques. Herein, one focus is the application of machine-learning algorithms to infer models from observed data. Another focus in the context of acoustic system modeling is the field of noise assessment, as it allows for a model corroboration and provides indication for improving systems with the goal of a quieter future.
