Exploratory analysis of sound datasets in musical acoustics: the case of drumheads

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Michael Starakis, Χρυσούλα Αλεξανδράκη, Rolf Bader, Maximos Kaliakatsos-Papakostas

Understanding the intricate connections between physical properties, sound characteristics, and perceptual attributes is crucial for both researchers and musicians. In this context and leveraging computational modeling, clustering methods, and machine learning techniques, we present AudioInsight, a web-based application designed to facilitate multimodal exploration of extensive musical sound datasets and unlock deep insights into sound features.