Composing Music with Neural Networks and Probabilistic Finite-State Machines

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. Key words: Biological Inspired Music, Music Composition, Representation Techniques, Comparative Analysis, Time Delay Neural Networks, Finite State Machines, Inductive Learning

• Type: Conference
• Year: 2008
• Where: EVOW
• Authors: Tomasz Michal Oliwa, Markus Wagner
• Keywords: Artificial Intelligence, Delay Neural Networks, EVOW 2008, Music Composition, Time Delay