Using spatial analogy to determine musical parameters in algorithmic composition

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dc.contributor.advisor Scott, Cleve L. en_US
dc.contributor.author Pounds, Michael, 1964- en_US
dc.date.accessioned 2011-06-03T19:37:03Z
dc.date.available 2011-06-03T19:37:03Z
dc.date.created 1995 en_US
dc.date.issued 1995
dc.identifier LD2489.Z765 1995 .P68 en_US
dc.identifier.other Cassette 17444 en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/handle/185254
dc.description.abstract This thesis presents a method of algorithmic composition in which the music is seen as motion through a multidimensional musical space. An analogy is drawn between physical space and musical space, each direction of the physical space corresponding to a musical parameter. A computer program was developed using the MAX programming environment to simulate the goaldirected motion of a mobile robot through an environment containing obstacles. The potential field method of mobile robot path planning was used. The program maps the location of the robot to musical parameters in the musical space. Based on the instantaneous values of the musical parameters, the program generates melodic material and transmits the resulting MIDI data to a synthesizer. For this research, the program was limited to three spatial dimensions and one obstacle. The program successfully created simple compositions consisting of large musical gestures. A model composition was created. Suggestions were made for further development and more elaborate applications of the method.
dc.description.sponsorship School of Music
dc.format.extent v, 79 leaves : ill. ; 28 cm. + 1 sound cassette (2 min., 51 sec.) en_US
dc.source Virtual Press en_US
dc.subject.lcsh Artificial intelligence -- Musical applications. en_US
dc.subject.lcsh Computer music. en_US
dc.subject.lcsh Computer algorithms. en_US
dc.subject.lcsh Electronic music -- History and criticism. en_US
dc.title Using spatial analogy to determine musical parameters in algorithmic composition en_US
dc.title.alternative Title on cassette label: Model composition en_US
dc.description.degree Thesis (M.M.)
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/958778 en_US


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  • Master's Theses [5510]
    Master's theses submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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