Automatic Composition of Music with Methods of Computational Intelligence

We describe our approach for the automatic composition of monophone melodies on a user given chord sequence. For this purpose we use Markov-chains and other methods to build some initial individuals. These are then optimised with evolutionary algorithms using automatically learned classifiers next to interactive evaluation as fitness functions.

[1]  John A. Biles,et al.  GenJam: A Genetic Algorithm for Generating Jazz Solos , 1994, ICMC.

[2]  Günter Rudolph,et al.  An Evolutionary Algorithm for Integer Programming , 1994, PPSN.

[3]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[4]  Eduardo Miranda,et al.  Composing Music with Computers , 2001 .

[5]  George Papadopoulos,et al.  A Genetic Algorithm for the Generation of Jazz Melodies , 2000 .

[6]  Jeffrey Horn,et al.  Handbook of evolutionary computation , 1997 .

[7]  Günter Rudolph,et al.  Evolutionary composition of music with learned melody evaluation , 2006 .

[8]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[9]  I. Xenakis,et al.  Formalized Music: Thought and Mathematics in Composition , 1971 .

[10]  Christian Igel,et al.  Empirical evaluation of the improved Rprop learning algorithms , 2003, Neurocomputing.

[11]  John A. Biles,et al.  GenJam Populi: Training an IGA via Audience-Mediated Performance , 1995, ICMC.

[12]  Geraint A. Wiggins,et al.  AI Methods for Algorithmic Composition: A Survey, a Critical View and Future Prospects , 1999 .

[13]  Roman Klinger,et al.  Automatische Komposition von Musik mit Methoden der Computational Intelligence , 2006 .

[14]  D. Cooke,et al.  Finite Markov Processes and Their Applications , 1981 .

[15]  Peter M. Todd,et al.  Frankensteinian methods for evolutionary music composition , 1999 .

[16]  Karl Rihaczek,et al.  1. WHAT IS DATA MINING? , 2019, Data Mining for the Social Sciences.

[17]  Anthony Richard Burton,et al.  A hybrid neuro-genetic pattern evolution system applied to musical composition , 1998 .

[18]  Brad Johanson,et al.  GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters , 2007 .

[19]  Susan Wright,et al.  Towards Melodic Extension Using Genetic Algorithms , 2001, J. Educ. Technol. Soc..

[20]  W. Cleveland.  LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression , 1981 .

[21]  Maarten Grachten,et al.  Melodic Similarity: Looking for a Good Abstraction Level , 2004, ISMIR.

[22]  J. R. Quinlan.  Learning With Continuous Classes , 1992 .

[23]  Peter G. Anderson,et al.  Neural network fitness functions for a musical IGA , 1996 .