Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/77098
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Type: Conference paper
Title: Composing music with neural networks and probabilistic finite-state machines
Author: Oliwa, T.
Wagner, M.
Citation: Applications of evolutionary computing: EvoWorkshops 2008, EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008 : Proceedings, 2008: pp.503-508
Publisher: Springer
Publisher Place: New York
Issue Date: 2008
Series/Report no.: Lecture Notes in Computer Science ; 4974
ISBN: 3540787607
9783540787600
ISSN: 0302-9743
1611-3349
Conference Name: European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (2008 : Naples, Italy)
Editor: Mario Giacobini
Statement of
Responsibility: 
Tomasz Oliwa and Markus Wagner
Abstract: In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques. © 2008 Springer-Verlag Berlin Heidelberg.
Rights: © Springer-Verlag Berlin Heidelberg 2008
DOI: 10.1007/978-3-540-78761-7_55
Appears in Collections:Aurora harvest 4
Computer Science publications

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