Extracting Expressive Performance Information from Recorded Music

A computer system is described which performs polyphonic transcription of known solo piano music by using high-level musical information to guide a signal-processing system. This process, which we term expressive performance extraction, maps a digital audio representation of a musical performance to a MIDI representation of the same performance using the score of the music as a guide. Analysis of the accuracy of the system is presented, and its usefulness both as a tool for music-psychology researchers and as an example of a musical-knowledge-based signal-processing system is discussed. Thesis Supervisor: Barry Vercoe Title: Professor of Media Arts and Sciences Extracting Expressive Performance Information from Recorded Audio by Eric David Scheirer

[1]  E. Narmour.  The analysis and cognition of basic melodic structures , 1992 .

[2]  James Anderson Moorer,et al.  On the segmentation and analysis of continuous musical sound by digital computer , 1975 .

[3]  Michael Hawley.  Structure out of sound , 1993 .

[4]  Bruno O. Shubert,et al.  Random variables and stochastic processes , 1979 .

[5]  Alan Ruttenberg,et al.  Optical reading of typeset music , 1991 .

[6]  W. Andrew Schloss,et al.  On the automatic transcription of percussive music , 1985 .

[7]  Seiji Inokuchi,et al.  The Kansei Music System , 1989 .

[8]  Barry Vercoe,et al.  The Synthetic Performer in The Context of Live Performance , 1984, International Conference on Mathematics and Computing.

[9]  Carol L. Krumhansl,et al.  Cognitive Foundations of Musical Pitch , 1991 .

[10]  Alan V. Oppenheim,et al.  Symbolic and Knowledge-Based Signal Processing , 1992 .

[11]  Robert C. Maher,et al.  An approach for the separation of voices in composite musical signals , 1989 .

[12]  Carol L. Krumhansl,et al.  Cognitive Foundations of Musical Pitch , 1992 .

[13]  Jeff A. Bilmes,et al.  Timing is of the essence : perceptual and computational techniques for representing, learning, and reproducing expressive timing in percussive rhythm , 1993 .

[14]  E. Narmour.  The Analysis and Cognition of Melodic Complexity: The Implication-Realization Model , 1992 .

[15]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[16]  R. Jackendoff,et al.  A Generative Theory of Tonal Music , 1985 .

[17]  Robert C. Maher,et al.  Evaluation of a method for separating digitized duet signals , 1990 .