739 research outputs found

    Recognition of variations using automatic Schenkerian reduction.

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    Experiments on techniques to automatically recognise whether or not an extract of music is a variation of a given theme are reported, using a test corpus derived from ten of Mozart's sets of variations for piano. Methods which examine the notes of the 'surface' are compared with methods which make use of an automatically derived quasi-Schenkerian reduction of the theme and the extract in question. The maximum average F-measure achieved was 0.87. Unexpectedly, this was for a method of matching based on the surface alone, and in general the results for matches based on the surface were marginally better than those based on reduction, though the small number of possible test queries means that this result cannot be regarded as conclusive. Other inferences on which factors seem to be important in recognising variations are discussed. Possibilities for improved recognition of matching using reduction are outlined

    Extending a network-of-elaborations representation to polyphonic music: Schenker and species counterpoint.

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    A system of representing melodies as a network of elaborations has been developed, and used as the basis for software which generates melodies in response to the movements of a dancer. This paper examines the issues of extending this representation system to polyphonic music, and of deriving a structural representation of this kind from a musical score. The theories of Heinrich Schenker and of Species Counterpoint are proposed as potentially fruitful bases

    Analysing symbolic music with probabilistic grammars

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    Recent developments in computational linguistics offer ways to approach the analysis of musical structure by inducing probabilistic models (in the form of grammars) over a corpus of music. These can produce idiomatic sentences from a probabilistic model of the musical language and thus offer explanations of the musical structures they model. This chapter surveys historical and current work in musical analysis using grammars, based on computational linguistic approaches. We outline the theory of probabilistic grammars and illustrate their implementation in Prolog using PRISM. Our experiments on learning the probabilities for simple grammars from pitch sequences in two kinds of symbolic musical corpora are summarized. The results support our claim that probabilistic grammars are a promising framework for computational music analysis, but also indicate that further work is required to establish their superiority over Markov models

    Echoes in Plato's cave:ontology of sound objects in computer music and analysis

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    The sonic aspects of Plato's analogy of the cave is taken as a starting point for thought experiments to investigate the objective nature of sound, and the idea of quasi-Platonic forms in music. Sounds are found to be objects in a way that sights or appearances are not, and it is only in the presence of technology that they become artificial. When recognition, control and communication about sound come into play, abstract concepts emerge, but there is no reason to give these the priority status Plato affords to forms. Similar issues arise in discussion of the ontology of musical works, where the ideas of extension and intension prove useful for clarity about the nature of musical objects. They are also useful for strategies in the development of music software. Musical concepts are not fixed but arise from complex cultural interactions with sound. Music software should aim to use abstract concepts with are useful rather than correct

    To Allen Forte from His Former Advisees: Tributes and Reminiscences

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    Testimonials are collected from forty-two former doctoral advisees of Allen Forte, whose Yale graduation dates range from 1968 to 2002. Although the style and focus of individual tributes vary, many convey something about Forte, both professionally and personally, at the time in which the advisee studied with him. The results are ordered chronologically (by Ph.D. dates) so that collectively they suggest the evolution of Forte himself, as well as North American music theory, across the decades. The contributors include (in alphabetical order): Baker, James M.; Ballan, Harry R.; Beach, David W.; Bergman, Rachel; Bernard, Jonathan W.; Berry, David Carson; Black, Leslie; Boss, Jack F.; Brown, Stephen C.; Chapman, Alan; Check, John; Chrisman, Richard; Damschroder, David A.; Ewell, Philip; Galand, Joel; Girton, Irene M. [Levenson]; Graziano, John; Greer, Taylor A.; Hamao, Fusako; Hanson, Jens L.; Harrison, Daniel; Horlacher, Gretchen; Kowalke, Kim H.; Krebs, Harald; Latham, Edward D.; McNamee, Ann K.; Moreno, Jairo; Neumeyer, David; Nolan, Catherine; Rothgeb, John; Rothstein, William; Russom, Philip; Schmalfeldt, Janet; Schwanauer, Stephan M.; Shaftel, Matthew R.; Spicer, Mark S.; Stein, Deborah; Straus, Joseph N.; Wason, Robert W.; Wheaton, J. Randall; Yeston, Maury; and Yih, Annie K. This article is part of a special, serialized feature: A Music-Theoretical Matrix: Essays in Honor of Allen Forte (Part V)

    The Convergence of Schenkerian Music Theory and Generative Linguistics: An Analysis and Composition

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    This thesis engages a purported connection between Schenkerian music theory and the Minimalist Program within generative linguistics both scientifically and creatively. The first chapter expounds the link between Schenkerian theory and the Minimalist Program which has been recently substantiated in a doctoral dissertation by Somangshu Mukherji at Princeton University and details the methodological framework for investigating musical structures within this paradigm. Chapter two presents three case studies including the opening phrase of Mozart’s K. 332 Mvt. 1 piano sonata, and the tunes “Georgia on My Mind” and “Blue Bossa” in order to exemplify the aforementioned methodology and provide scientific evidence affirming this generative framework. Chapter three concludes with a creative investigation of the theoretical ideas which this thesis engages and consists of a string quartet that draws upon the notions of music and language, and music as derived from a computational system

    Uncovering the Confusing Influence Experts Have on Music Copyright Cases

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    Contemporary copyright decisions by Federal Courts perplex composers; am I the creative composer, or am I an infringer on someone else’s intellectual property? By forming a temporary monopoly to monetize new content, copyright protection incentivizes artists to be fruitful. In a creative field like music, an overly broad definition of copyrightable expression can lead to a “chilling effect” on creativity. This chilling effect is exacerbated by the great latitude given expert witnesses to claim infringement based on broad classifications of expressions. My paper addresses the question: To what extent should expert witnesses be probative when they extend ownership rights beyond the composition and into abstract categories that encompass the composition. My legal analysis begins with Richard Jones’ seminal 1990 Pace Law Review article about why the idea-expression dichotomy problematic and continues with Paul Grinvalsky’s 1992 California Western Law Review article discussing problems inherent in the idea-expression dichotomy in music. The next step in my inquiry was to search for case law that applied different boundary levels for experts in copyright cases. [See Arnstein (1946), Krofft (1977), Williams (2015). This research demonstrates how unchecked expert testimony can create confusion in court, stifling creativity in music copyright cases

    Graph based representation of the music symbolic level. A music information retrieval application

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    In this work, a new music symbolic level representation system is described. It has been tested in two information retrieval tasks concerning similarity between segments of music and genre detection of a given segment. It could include both harmonic and contrapuntal informations. Moreover, a new large dataset consisting of more than 5000 leadsheets is presented, with meta informations taken from different web databases, including author information, year of first performance, lyrics, genre, etc.ope
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