Xref: utzoo comp.music:2033 comp.misc:10389 misc.misc:10524 Path: utzoo!utgpu!watserv1!watmath!att!att!bu.edu!snorkelwacker!ai-lab!rice-chex!mrsmith From: mrsmith@rice-chex.ai.mit.edu (Mr. P. H. Smith) Newsgroups: comp.music,comp.misc,misc.misc Subject: Re: Optical musical score recognition Keywords: Optical, Recognition Message-ID: <11501@life.ai.mit.edu> Date: 22 Oct 90 14:57:03 GMT References: <714@skye.cs.ed.ac.uk> <1990Oct21.044328.12156@ecn.purdue.edu> Sender: news@ai.mit.edu Distribution: na Organization: * * * Lines: 18 In article <714@skye.cs.ed.ac.uk> dxb@lfcs.ed.ac.uk (David Bainbridge) writes: > I am seeking information for my final year honours project at the >department of Computer Science, Edinburgh University. The project >involves interpreting musical features (notes, sharp signs etc) from >an image produced by an optical scanner. Has anyone ever tackled a >similar project, or know of any literature in this field ? Alan Ruttenberg at the MIT Media Lab just showed me a demonstration of his optical score reading stuff. His system finds beams, note heads, barlines, staff lines, accidentals, clefs, etc. He's still working on it and has yet to implement the midi transcription. Anyway, you should talk to him about it. email: alanr@media-lab.media.mit.edu Paul mrsmith@ai.mit.edu