Chapter

Guide to Computing for Expressive Music Performance

pp 145-179

Date:

Statistical Approach to Automatic Expressive Rendition of Polyphonic Piano Music

  • Tae Hun KimAffiliated withAudio Communication Group, Technische Universitat Berlin Email author 
  • , Satoru FukayamaAffiliated withGraduate School of Information Science and Technology, The University of Tokyo
  • , Takuya NishimotoAffiliated withOlarbee Japan
  • , Shigeki SagayamaAffiliated withGraduate School of Information Science and Technology, The University of Tokyo

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Abstract

In this chapter, we discuss how to render expressive polyphonic piano music through a statistical approach. Generating polyphonic expression is an important element in achieving automatic expressive piano performance since the piano is a polyphonic instrument. We will start by discussing the features of polyphonic piano expression and present a method for modeling it based on an approximation involving melodies and harmonies. An experimental evaluation indicates that performances generated with the proposed method achieved polyphonic expression and created an impression of expressiveness. In addition, performances generated with models trained on different performances were perceptually distinguishable by human listeners. Finally, we introduce an automatic expressive piano system called Polyhymnia that won the first place in the autonomous section of Performance Rendering Contest for Computer Systems (RenCon) 2010.