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Acoustic Scene Classification


Description Acoustic scene classification has the aim of enabling devices to recognise the acoustic environment. It has been successfully employed in a series of applications, such as intelligent wearable interfaces, context-aware computation, and many more. This topic requires participants to classify acoustic data into several classes of scenes.
Task The student will investigate how to extract spectrograms and train a robust deep learning model to classify the acoustic scenes from a big audio dataset.
Utilises Python
Requirements Deep learning
Languages English
Supervisor

Zhao Ren (zhao.ren@informatik.uni-augsburg.de)