Music and Artificial Intelligence: Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Procee by Christina AnagnostopoulouMusic and Artificial Intelligence: Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Procee by Christina Anagnostopoulou

Music and Artificial Intelligence: Second International Conference, ICMAI 2002, Edinburgh, Scotland…

byChristina AnagnostopoulouEditorMiguel Ferrand, Alan Smaill

Paperback | August 28, 2002

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Perspective,andAntonio- murri'swasComputationalModelsofExpressiveGesture. Thepapersintheconferencedealtwithawiderangeofaspectsofcurrent research,includingstructural,harmonic,andreductionalmusicanalysis,pattern representationanddiscoveryinbothmonophonicandpolyphonicmusic,music perceptionofmelodyandrhythm,therelationbetweenmusicandnaturallan- age,similarityandcategorization,musicandintonation,musicalexpressionand performance,soundprocessing,soundclassi?cations,commercialapplications, andmusicontheweb. Acknowledgements. Theeditorsaregratefulforallthehelpofthosewho madethepublicationofthisvolumepossible,andespeciallyDarrellConklin, VI Organization PeterNelson,EmiliosCambouropoulos,AlisonPease,andMarkSteedman;also, JordanFleming,EwenMaclean,andRobertDow;andtheFacultyofMusicand theDivisionofInformatics,UniversityofEdinburghfor?nancialsupport. July2002 ChristinaAnagnostopoulou MiguelFerrand AlanSmaill OrganizingCommittee AlanSmaill(Chair) ChristinaAnagnostopoulou(Co-chair) MiguelFerrand PeterNelson AlisonPease MarkSteedman ProgramCommittee ? JensArnspang(Alborg) GillianHayes(Edinburgh) MiraBalaban(Ben-Gurion) HenkjanHoning(Nijmegen) MartaOlivettiBelardinelli(Rome) JukkaLouhivuori(Jyvaskyla) RensBod(Amsterdam) TodMachover(MIT-MediaLab) CarolaBoehm(Glasgow) GuerinoMazzola(ZurichandVienna) AmilcarCardoso(Coimbra) StephenMcAdams(IRCAM) EmiliosCambouropoulos(Thessaloniki)EduardoMiranda(SONYCSL-Paris) ElaineChew(USC) PeterNelson(Edinburgh) DarrellConklin(ZymoGenetics) Fran¸coisPachet(SONYCSL-Paris) IanCross(Cambridge) StephenTravisPope(SantaBarbara) RogerDannenberg(CMU) AlanSmaill(Edinburgh) PeterDesain(Nijmegen) MarkSteedman(Edinburgh) AnastasiaGeorgaki(Athens) DavidTemperley(Rochester) InvitedSpeakers MiraBalaban(Ben-GurionUniversity,Israel) AntonioCamurri(UniversityofGenoa,Italy) Jean-ClaudeRisset(LaboratoiredeM´echaniqueetd'Acoustique,France) TableofContents InvitedTalks StructureandInterpretationofMusicConcepts:Musicfroma ComputationalPerspective. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 MiraBalaban ExpressiveGesture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 AntonioCamurri RegularContributions AGeneralParsingModelforMusicandLanguage . . . . . . . . . . . . . . . . . . . . . 5 RensBod TheSpiralArray:AnAlgorithmforDeterminingKeyBoundaries . . . . . . . 18 ElaineChew RepresentationandDiscoveryofVerticalPatternsinMusic . . . . . . . . . . . . . 32 DarrellConklin DiscoveringMusicalStructureinAudioRecordings. . . . . . . . . . . . . . . . . . . . . 43 RogerB. Dannenberg,NingHu RealTimeTrackingandVisualisationofMusicalExpression . . . . . . . . . . . . 58 SimonDixon,WernerGoebl,GerhardWidmer AutomaticClassi?cationofDrumSounds:AComparisonofFeature SelectionMethodsandClassi?cationTechniques. . . . . . . . . . . . . . . . . . . . . . . 69 PerfectoHerrera,AlexandreYeterian,FabienGouyon SomeFormalProblemswithSchenkerianRepresentationsofTonal Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 TimHorton RespirationRe?ectingMusicalExpression:AnalysisofRespiration duringMusicalPerformancebyInductiveLogicProgramming . . . . . . . . . . . 94 SohIgarashi,TomonobuOzaki,KoichiFurukawa MimeticDevelopmentofIntonation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 EduardoReckMiranda InteractingwithaMusicalLearningSystem:TheContinuator . . . . . . . . . . . 119 Fran¸coisPachet VIII TableofContents RecognitionofIsolatedMusicalPatternsUsingHiddenMarkovModels . . . 133 AggelosPikrakis,SergiosTheodoridis,DimitrisKamarotos AModelforthePerceptionofTonalMelodies. . . . . . . . . . . . . . . . . . . . . . . . . 144 Dirk-JanPovel ControlLanguageforHarmonisationProcess . . . . . . . . . . . . . . . . . . . . . . . . . 155 SomnukPhon-Amnuaisuk EvaluatingMelodicSegmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168 ChristianSpevak,BelindaThom,KarinH¨othker CombiningGrammar-BasedandMemory-BasedModelsofPerceptionof TimeSignatureandPhase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 NetaSpiro ABayesianApproachtoKey-Finding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 DavidTemperley AuthorIndex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 StructureandInterpretationofMusicConcepts: MusicfromaComputationalPerspective MiraBalaban DepartmentofInformationSystemsEngineering Ben-GurionUniversityoftheNegev,Israel. mira@cs. bgu. ac. il Researchinthe?eldofComputer-Musicisdirectedtowardsconstructionof computersystemsforcomposition,performanceofmusicaltasks,musictra- ing,signalprocessingandextensionoftraditionalmusicsounds,notationstudy, musicanalysis,storageandcommunicationofmusicaldata,andmusicinf- mationretrievalandclassi?cation. Computerapplicationsinmusicleadtothe developmentofcomputationalmodels. ExamplesaretheworksofWinograd, Ebcioglu,Laske,Cope,Bamberger,Berger&GangandOrlarey. Berger&Gang usearti?cialneuralnetworkstoinvestigatemusicperception,Orlareyetal. - troducethenotionofConcreteAbstraction(borrowedfromLambdaCalculus) asabasisfortheirpurelyfunctionalcompositionenvironment,whileWinograd usesaSystemicGrammarapproachborrowedfromLinguistics. Inspiteofrichactivityinmusicologyandincomputermusic,thereislittle research(ifatall)onthedevelopmentofacomputationalbasisforcomputer music(e. g. ,Schenker,Narmour,LerdhalandJackendo?). Mostcomputermusic systemsindeedhavehugemusicalknowledgeandintuitionsembeddedinthem, butcannotpointonunderlyingexplicitcomputationalbasis. Clearlythey- sumesomelevelofprimitives,andusedi?erentabstractionlevelsandkinds,but thesearenotanchoredincomputationalmodelsthataccountfortheirbasics, organization,usageandsemantics. Inasense,thissituationremindsoneofthe earlydaysofNaturalLanguageProcessing,whenalargeamountoflinguistic knowledgewasembeddedinhugesemanticnetworks. Inthistalkweproposetoinitiateastudyofcomputationalframeworks formusicknowledge. Theideaistomakethemusicknowledgethatunderlies computer-musicapplications(eitherintentionallyornot)explicit. Asastarting point,wesuggesttostudy music schemas. HereishowMusicologistDahlia Cohen(dept. ofMusicology,HebrewUniversity,Israel)describestherolethat musicschemasplayinmusicunderstanding: Listeningtomusic(perceptionandreaction)anditsmemorization,are cognitiveactivitiesthatdependon schemas thatarecreated,unc- sciously,atanearlyage. Theschemasrepresentrelationshiptypes- tweenmusicaleventsthataredictatedbyprinciplesoforganization,in variousabstractionlevels. Theschemastriggerexpectationsthatmay ormaynotberealized. Musicisdistinguishedfromotherartsinhaving thesystematicorganizationasthesolemeansfortriggeringvarioustypes ofreactions(whereasotherartsemploynon-artistic,non-organizational meansforreactiontriggering).
Title:Music and Artificial Intelligence: Second International Conference, ICMAI 2002, Edinburgh, Scotland…Format:PaperbackDimensions:212 pages, 23.5 × 15.5 × 0.07 inPublished:August 28, 2002Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:354044145X

ISBN - 13:9783540441458

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Table of Contents

Invited Talks.- Structure and Interpretation of Music Concepts: Music from a Computational Perspective.- Expressive Gesture.- Regular Contributions.- A General Parsing Model for Music and Language.- The Spiral Array: An Algorithm for Determining Key Boundaries.- Representation and Discovery of Vertical Patterns in Music.- Discovering Musical Structure in Audio Recordings.- Real Time Tracking and Visualisation of Musical Expression.- Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques.- Some Formal Problems with Schenkerian Representations of Tonal Structure.- Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming.- Mimetic Development of Intonation.- Interacting with a Musical Learning System: The Continuator.- Recognition of Isolated Musical Patterns Using Hidden Markov Models.- A Model for the Perception of Tonal Melodies.- Control Language for Harmonisation Process.- Evaluating Melodic Segmentation.- Combining Grammar-Based and Memory-Based Models of Perception of Time Signature and Phase.- A Bayesian Approach to Key-Finding.