Abstract
Attention is drawn to the need for controlling (during encoding) and checking (after encoding) the quality or accuracy of musical data. Some large databases of melodies are now becoming available, and methods of control and checking are presented which are specially suited to these. Two applications are discussed in detail: to Gregorian Chant and to German folksong. An effective method in tonal and modal music is found to be the investigation of melodic progressions which remain unusual even after amalgamation by transposition to a central register.
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References
Bryden, John R., and David G. Hughes.An Index of Gregorian Chant. Cambridge, MA: Harvard University Press, 1969. Vol I: Alphabetical Index; Vol II: Thematic Index.
Randel, Don, ed.The New Harvard Dictionary of Music. Cambridge, MA: Harvard University Press, 1986.
Selfridge-Field, Eleanor. “Reflections on Technology and Musicology.”Acta Musicologica 62, 2–3 (1990), 302–14.
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Dr. Nigel Nettheim is Senior Research Associate in the Centre for Liberal and General Studies, University of New South Wales, Australia. His research combines Mathematical Statistics and Analytical Musicology. Publications include “On the Spectral Analysis of Melody,” Interface,21 (1992), and “The Pulse in German Folksong: A Statistical Investigation,” Musikometrika5, (to appear).
The author thanks the anonymous reviewers for helpful remarks.
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Nettheim, N. On the accuracy of musical data, with examples from Gregorian chant and German folksong. Comput Hum 27, 111–120 (1993). https://doi.org/10.1007/BF01830304
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DOI: https://doi.org/10.1007/BF01830304