Empirical Analysis of Gestural Sonic Objects Combining Qualitative and Quantitative Methods
Federico Visi,
Rodrigo Schramm,
Kerstin Frödin
et al.
Abstract:In this chapter, we describe a series of studies related to our research on using gestural sonic objects in music analysis. These include developing a method for annotating the qualities of gestural sonic objects on multimodal recordings; ranking which features in a multimodal dataset are good predictors of basic qualities of gestural sonic objects using the Random Forests algorithm; and a supervised learning method for automated spotting designed to assist human annotators. The subject of our analyses is a pe… Show more
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