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Classification of mechanical noises of motorised cylinder locks

Authors Merz, P.
Year 2019
Thesis Type Audio Engineering project
Topic Audio Signal Processing
Keywords psychoacoustics, Music Information Retrieval
Abstract This thesis examines the classifiability of mechanical noises. The used test data is a set of recordings of motorised cylinder locks, which have been classified according to their build quality. Methods from unsupervised machine learning will be used to study whether it is possible or not to reproduce the classification based on a selection of psychoacoustic features implemented in Python. Finally it will be examined if this classification can also be done automatically.
Supervisors Sontacchi, A.