Corpus ID: 5127434

Analyzing musical expressivity with a soft computing approach

@inproceedings{THakan2017AnalyzingME,
  title={Analyzing musical expressivity with a soft computing approach},
  author={Ozaslan THakan},
  year={2017}
}
In this paper we present our research on the design of a tool to analyze musical expressivity. Musical expressivity is a human activity difficult to model computationally because of its nature: implicitly acquired by musicians through a long process of listening and imitation. We propose the use of soft computing techniques to deal with this problem. Specifically, from a collection of sound features obtained by using state of the art audio analysis algorithms, we apply a soft computing process… Expand