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Data-driven Auditory Contrast Enhancement for Everyday Sounds and Sonifications
2019
Proceedings of the 25th International Conference on Auditory Display (ICAD 2019)
unpublished
We introduce Auditory Contrast Enhancement (ACE) as a technique to enhance sounds at hand of a given collection of sound or sonification examples that belong to different classes, such as sounds of machines with and without a certain malfunction, or medical data sonifications for different pathologies/conditions. A frequent use case in inductive data mining is the discovery of patterns in which such groups can be discerned, to guide subsequent paths for modelling and feature extraction. ACE
doi:10.21785/icad2019.005
fatcat:7k4tm34kybgpxbxynxyjh2gik4