bradr@bartok.Sun.COM (Brad Rubenstein) (04/07/90)
Music-Research Digest Fri, 6 Apr 90 Volume 5 : Issue 34 Today's Topics: How to print score from Performer 2.31 (2 msgs) Interface Special Issue Only amateurs? Second Call for Papers - Workshop on AI & Music Typesetting music *** Send contributions to Music-Research@uk.ac.oxford.prg *** Send administrative requests to Music-Research-Request *** Overseas users should reverse UK addresses and give gateway if necessary *** e.g. Music-Research@prg.oxford.ac.uk *** or Music-Research%prg.oxford.ac.uk@nsfnet-relay.ac.uk ---------------------------------------------------------------------- Date: 2 Apr 90 14:55:51 GMT From: Duy-Minh NHIEU <dmnhieu%watdragon%watserv1%utgpu%news-server.csri.toronto.edu%cs.utexas.edu@edu.ohio-state.cis.tut> Subject: How to print score from Performer 2.31 To: music-research@prg Message-ID: <22752@watdragon.waterloo.edu> May be someone out there is able to help me out. I now want to print a copy of the score of a piece of music that I compose with MIDI keyboard and entered in the Performer (Mac software sequencer). Is there anyother program that can take the output from Performer and typeset it as music score and print it out? (Note, I don't have the Performer manual, I only get access to it in the studio in school here.) ------------------------------ Date: 3 Apr 90 15:01:31 GMT From: Nick Rothwell <nick%lfcs%edcastle%ukc%mcsun@net.uu.uunet> Subject: How to print score from Performer 2.31 To: music-research@prg Message-ID: <3137@castle.ed.ac.uk> In article <22752@watdragon.waterloo.edu>, dmnhieu@watdragon (Duy-Minh NHIEU) writes: >May be someone out there is able to help me out. I now want to print a copy >of the score of a piece of music that I compose with MIDI keyboard and entered >in the Performer (Mac software sequencer). Is there anyother program that >can take the output from Performer and typeset it as music score and print it >out? Yes, it's called Composer; the more hip with-it Mac/MIDI users presumably purchase the twin-pack. I can't afford Composer myself, though I'd love to have it. Performer 3.41 will have score-editing of sequence data; I don't know if it will be able to print the stuff as well (Pro-24 can do this, albeit pretty mindlessly). Nick. -- Nick Rothwell, Laboratory for Foundations of Computer Science, Edinburgh. nick@lfcs.ed.ac.uk <Atlantic Ocean>!mcsun!ukc!lfcs!nick ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ ~~ Ich weiss jetzt was kein Engel weiss ------------------------------ Date: Fri, 30 Mar 90 19:03:10 GMT From: Antonio Camurri <music@it.unige.dist.dist> Subject: Interface Special Issue To: Music-Research@prg Message-ID: <9003301703.AA20617@dist.dist.unige.it> Here follows the list of contents and the Preface of a forthcoming special issue of the Interface journal, of which I am guest editor. It will be available next summer. Antonio Camurri (music@dist.dist.unige.it) --- INTERFACE, Vol.19, 2-3, 1990 (Swets & Zeitlinger) Special Issue on Artificial Intelligence and Music: Selected proceedings from the European Workshop on Artificial Intelligence and Music --- CONTENTS A.Camurri - On the role of artificial intelligence in music research. M.Leman - Emergent properties of tonality by self-organization. P.Beyls - Musical morphologies from self-organizing systems. B.Bel - Time and musical structures. G.De Poli, L.Irone, A.Vidolin - A many sorted approach to musc score interpretation. L.Camilleri, F.Carreras, C.Duranti - An expert system prototype for the study of musical segmentation. R.B.Dannenberg, M.Sanchez, A.Joseph, P.Capell, R.Joseph, R.Saul - A computer-based multi-media tutor for beginning piano students S.Szeider - The semantics of musical scores: an approach to the mechanical composition of microtonal music. B.Fagarazzi, C.Saraggiotto - An object-oriented approach to computer music aided composition B.Baird, D.Blevins, N.Zahler - The artificially intelligent computer performer: the second generation. --- PREFACE (to the special issue) Artificial Intelligence (AI) is an area of Computer Science devoted to the study of mental faculties and to the development of models and systems able to store and manipulate, in some "intelligent" way, knowledge about the world. Artificial Intelligence and Music (AIM) can be considered a field in the area of Artificial Intelligence, involving fundamental interdisciplinary contributes from Cognitive Musicology, Cognitive Sciences, Cybernetics, Psychology, Philosophy, Music Theory. AIM is particularly concerned with the use of existent, but above all the development of new, Artificial Intelligence theories and tools "for different practical usages of musical knowledge and musical communication" (Leman, 1989). Cognitive Musicology is a discipline strictly related to AIM (see Leman, 1989). By introducing AIM as a particular branch of AI, I mean to emphasize that AIM does not involve the mere application of existent Artificial Intelligence methodologies and tools to Music. The peculiarity of the music domain, involving different and complex (intelligent) tasks, in some cases leads to the development of new AI approaches: it is what Mira Balaban (1989) refers to as the cross-fertilization relationships between music and AI. Research going on in this field, as confirmed by the works presented in this special issue of Interface, confirms this tendency. This special issue of Interface presents a selection from the European Workshop on Artificial Intelligence and Music, held in Genoa in June 1989. The workshop included eighteen contributions, both papers and presentations of tools, and the Programme Committee selected the contributions included in this special issue. We think that these papers are all good indications of the vitality of this new field. An introduction to the papers included in this issue and to the field of AIM can be found in my paper, a sort of tutorial "on the role of artificial intelligence in music research". Besides the scientific meetings, the workshop has been an occasion for two further significant events. First, Goffredo Haus (LIM-DSI, University of Milan) officially presented the first research project supported by the Italian National Research Council (CNR) (MUSIC goal, PFI2-CNR), regarding the design and development of an "Intelligent Musical Workstation". The MUSIC goal project will go on for three-five years, unifying three research centers: the LIM-DSI, University of Milan, the AI and Music Labs at DIST, University of Genoa and the CSC, University of Padua. Our hope is that this event will be the first step toward further initiatives aimed at increasing and supporting research activities in this emerging field. The second significant event which took place at the workshop was a computer music concert. Its peculiarity was the inclusion of a significant "amount of AI and music" in the programme. In particular, Peter Beyls presented an impressive live performance in which he used his "Oscar" AI tool; Noel Zahler presented his multi-media composition "Gothic Tempest" whose creation involved his artificially intelligent performer. Before concluding, I want to express my gratitude to all the persons who contributed to this event. Firstly, I am very grateful to Marc Leman, for his precious help and suggestions in the editing of this special issue. I am also indebted to Gianni De Poli, Goffredo Haus, Alvise Vidolin and Renato Zaccaria for their suggestions and encouragement. I thank also all the authors for their efforts. Finally, I want to mention also those friends and collegues who gave substantial contributions to the local organization of the workshop: Francesco Giuffrida and Paolo Podesta`; the composers Corrado Canepa and Giuliano Palmieri; my wife Daniela; Paolo Franchi, Orietta Stramigioli, Gianni Vercelli and Sandro Zappatore. A final acknowledgement is due to the sponsors of the workshop: Cassa di Risparmio di Genova e Imperia, Ente Decentramento Culturale, Systemsline computers, TAU Technology and Services, and Taulino strumenti musicali. Antonio Camurri References Balaban, M. (1989). The cross-fertilization relationship between music and AI (based on experience with the CSM project), Interface, 18(1-2), 89-115. Leman, M. (Ed.) (1989). Models of musical communication and cognition. Interface, 18(1-2). ------------------------<end of message>--------------------------------- ------------------------------ Date: Mon, 2 Apr 90 10:51:11 EDT From: "David M. Chess" <CHESS@com.ibm.almaden> Subject: Only amateurs? To: music-research@com.sun.eng.bartok Message-ID: <9004021451.AA17888@Sun.COM> E. Handleman writes, in passing, > ...the kinds of things that amateurs find exciting, like generating > tonal music, or music "in the style of," or ways of making one piece > sound sort of like another piece, or trying to make music sound > "authentic" or "expressive," or arranging chords so that your tune > comes out moderately "happy" or "soul searching." I don't say this > sort of thing shouldn't be done -- I'm only saying that I don't care > about this kind of work at all. But you're also saying that "amateurs" find it exciting. Do you mean to say that professionals don't? Professional whats? *8) I admit that I am an amateur, and that I find at least some of that sort of thing exciting (I think there's still lots of good tonal music to be written, for instance), but might I venture that your reference to "amateurs" was more of a passing slap at stuff that doesn't interest you than it was a considered, rational, statement? Or is it really true that Professionals have all abandoned tonality? I suspect not! (Pls don't take this as a flame or an attack; I've been enjoying the discussion greatly, but just couldn't bring myself to let this get by without comment...) Dave Chess IBM T. J. Watson Research ------------------------------ Date: Fri, 30 Mar 90 19:07:05 GMT From: Antonio Camurri <music@it.unige.dist.dist> Subject: Second Call for Papers - Workshop on AI & Music To: Music-Research@prg Message-ID: <9003301707.AA20655@dist.dist.unige.it> ECAI Workshop on Artificial Intelligence and Music * SECOND CALL FOR PAPERS * Stockholm, Sweden. Tuesday, August 7, 1990 This workshop is the successor of the four previous workshops held in the last two years: the AAAI-88 (St.Paul) and IJCAI-89 (Detroit) Workshops, the GMD Workshop that preceded the International Computer Music Conference (Bonn, Sept. 88), and the European Workshop on AI and Music (Genoa, June 89). AI and Music is an emerging discipline that involves such fields as artificial intelligence, music, psychology, philosophy, linguistics, and education. The last four workshops demonstrated a mixture of methods, that range from somewhat technical application of AI methods to music problems, to theoretical cognitive research. This workshop will focus on further deepening our understanding of those AI techniques and approaches that are relevant to music, and on the relevance of music to AI research. The workshop topics include (but are not limited to) the following: Cognitive Musicology Expert Systems and Music Knowledge Representation and Music Tutoring Neural Computation in Music Composition, Performance, Analysis tools (based on AI techniques) Multi-media Composition and Performance The Workshop is scheduled during the ECAI Tutorials (August, 7), held immediately before the ECAI Scientific Meeting (August, 8-10). ORGANISING COMMITTEE : Mira Balaban , Dept of Math and Computer Science, Ben-Gurion University, Israel. Antonio Camurri , DIST, University of Genoa, Italy. Gianni De Poli , CSC, University of Padova, Italy. Kemal Ebcioglu , IBM, Thomas J. Watson Research Center, USA. Goffredo Haus , LIM-DSI, University of Milan, Italy. Otto Laske , NEWCOMP, USA. Marc Leman , IPEM, University of Ghent, Belgium. Christoph Lischka , GMD, Federal Republic of Germany. SUBMISSION INFORMATION Submit eight copies of a camera ready manuscript (about 5 single-spaced A4 pages) to Antonio Camurri. Please follow the IJCAI standards for the preparation of the manuscript. Antonio Camurri, DIST - University of Genova Via Opera Pia, 11A - 16145 Genova, Italy e-mail: music@ugdist.UUCP Phone +39 (0)10 3532798 - 3532983; Telefax +39 (0)10 3532948 Important dates May 15, 1990: Deadline for submission. July 1, 1990: Notification of acceptance. For registration and general information on the ECAI-90 conference, please refer to: ECAI-90, c/o Stockholm Convention Bureau, Box 6911 S-102 39 Stockholm, Sweden. Tel. +46-8-230990 FAX. +46-8-348441 ------------------------------ Date: 5 Apr 90 12:53:07 GMT From: "M.W.Guy" <mg%gos.ukc.ac.uk%harrier.ukc.ac.uk%ukc%mcsun%sunic%luth%eru@edu.mit.bloom-beacon> Subject: Typesetting music To: music-research@prg Message-ID: <2922@gos.ukc.ac.uk> I know of two systems for typesetting music, both bolt-ons to existing typesetting programs. The MuTeX package, copyright by Andrea Steinbach and Angelika Schofer, is a set of macros allowing TeX to typeset beautiful music. It is the outcome of a Master's thesis at the Rheinische Friedrich-Wilhelms University. ``Music'' is a troff preprocessor by Eric Foxley <ef@cs.nott.ac.uk>, which can use the Sonata font of musical glyphs, if you have it on your laserprinter, or can put out pic input. You will need Device Independent Troff to use this. Unfortunately, while we do have the Sonata font, we don't have the font metrics required by troff :-( Of the two, MuTeX is more complete than the June 1987 version of `music' that I have. It can do more sophisticated musical notation, such as slurs and phrasing, which music cannot, but it cannot make use of Sonata, carrying its own TeX fonts instead. Martin ------------------------------ End of Music-Research Digest ---Brad Rubenstein-----Sun Microsystems Inc.-----bradr@sun.com---