Normative Performance Rules Extracted by Multiple Performance Data

In order to achieve human-like computer performances, the di erence features between real performances and musical scores must be investigated. It is also important to construct a performance system by taking account of performer's individuality. This paper addresses a method to derive a normative performance data from multiple performances and a strategy to extract performance rules by using each performer's data and normative data. To con rm normative performance rules extracted from multiple performances, automatic piano performances synthesized by the proposed method are compared with performers' data. The possibility of extracting individual traits of performers is also discussed by comparing synthesized performance data with each performance data.