Path: utzoo!yunexus!ists!jarvis.csri.toronto.edu!rutgers!ucsd!tut.cis.ohio-state.edu!cica!iuvax!purdue!haven!h.cs.wvu.wvnet.edu!a.cs.wvu.wvnet.edu!schiebel From: schiebel@a.cs.wvu.wvnet.edu (Darrell Schiebel) Newsgroups: comp.ai.neural-nets Subject: Re: MUSIC and Neural Nets Message-ID: <548@h.cs.wvu.wvnet.edu> Date: 17 Nov 89 22:33:50 GMT Article-I.D.: h.548 References: <882@cf-cm.UUCP> <11471@phoenix.Princeton.EDU> Sender: news@h.cs.wvu.wvnet.edu Lines: 28 In article <11471@phoenix.Princeton.EDU>, eliot@phoenix.Princeton.EDU (Eliot Handelman) writes: > In article <882@cf-cm.UUCP> andrew@computing-maths.cardiff.ac.uk (Andrew Jones) writes: > ;As a complete newcomer to the Neural Net arena, I would be interested to > ;know what research has been done in the area of Neural Networks for musical > ;applications. Any thoughts? > > The problems that seem interesting are engineering problems (like the > recognition of instruments or of polyphony), but that hasn't prevented > a certain amount of "work" in "music." I suggest you leave that to the > musicians. > > E. Handelman > Music Dept. > Princeton U. I'd suggest getting the paper by Teuvo Kohonen entitled "A Self-Learning Musical Grammar, or `Associative Memory of the Second Kind'"; it was published in the International Joint Conference on Neural Networks June 18-22, 1989. The music generated was quite beautiful. BTW: Teuvo Kohonen, Helsinki University of Technology, Laboratory of Computer and Information Science, Rakentajanaukio 2 C, SF-02150 Espoo, Finland. Darrell Schiebel (schiebel@a.cs.wvu.wvnet.edu)