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Exploring Emotion in Sub-Structural Aspects of Karelian Lament: Application of Time Series Analysis to Digitized Melody.

Published online by Cambridge University Press:  07 March 2019

Kathryn Vaughn
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Extract

Interest in the aid of computers within musicology has so far mainly been concentrated on (a) documentation and (b) analysis of music as notated. It still remains to take the important step into that vast field of material, problems, and research that could be labeled music as performed, both as regards the physiological, the acoustical, and the perceptive side. Here it seems possible to predict the arrival of a quite new type of research in the near future. One main problem that remains to be solved is the transformation of registered data from analogous to digital form to get numerical values directly printed out or otherwise stored for computer treatment.

Type
Articles
Information
Yearbook for Traditional Music , Volume 22 , 1990 , pp. 106 - 122
Copyright
Copyright © 1990 by the International Council for Traditional Music

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Footnotes

1

A preliminary version of this paper was presented as a companion to Elizabeth Tolbert's paper, “The Ethnopsychology of Music, Trance and Lament” at the ICTM conference in Schladming, Austria, July 1989. References to Tolbert without year pertain to Elizabeth Tolbert's field data or to analyses as described in her essay in this volume.

References

References Cited

Bengtsson, Ingmar 1967 On Melody Registration and MONA. Elektronische Datenverarbeitung in der Musikwissenschaft, 136–74.Google Scholar
Bramble, Dennis, M. 1983 Respiratory Patterns and Control during Unrestrained Human Running. In: Modelling and Control Breathing, Eds. Brian J. Whipp & Donald M. Wiber, pp. 213–20. New York: Elsivir Biomedical.Google Scholar
Bramble, Dennis M. & Carrier, David R. 1983 Running and Breathing in Mammals. Science 219:251–56.CrossRefGoogle ScholarPubMed
Brillinger, David R. 1973 Time Series Data Analysis and Theory. New York: Holt, Rinehart and Winston, Inc.Google Scholar
Campbell, M.J. and Walker, A.M. 1977 A Survey Statistical Work on the Mackensie River Series of Annual Canadian Lynx Trappings for the Years 1821-1934 and New Analysis. Journal of the Royal Statistical Society 40, Series A: 411–68.Google Scholar
Capranica, Robert R. 1965 The Evoked Vocal Response of the Bullfrog. Cambridge, Massachusetts: MIT Press.Google Scholar
Desmedt, John E. 1977 Auditory Evoked Potentials in Man. Brussels: F. Reinhardt. AG.Google Scholar
Dixon, W.J., ed. 1985 BMDP Statistical Software. Berkeley: University of California Press.Google Scholar
Douglas, Mary, ed. 1982 Essays in the Sociology of Perception. London: Routledge & Kegan Paul.Google Scholar
Gardner, Martin 1978 White and Brown Music, Fractal Curves, and One-over-f Noise. Scientific American April: 16ff.Google Scholar
Glass, Leon & MacKay, Michael C. 1988 From Clocks to Chaos: The Rhythms of Life. New Jersey: Princeton University Press.CrossRefGoogle Scholar
Grassberger, Peter & Procaccia, Itamar 1983 Measuring the Strangeness of Strange Attractors. Physica 9D: 189–208.Google Scholar
Greenberg, Steven 1980 Neural Temporal Coding and Pitch and Vowel Quality: Human Frequency-Following Reponse Studies of Complex Signals. Dissertation, University of California, Los Angeles.Google Scholar
Guevara, Michael & Glass, Leon 1982 Phase Locking, Period Doubling Bifurcations and Chaos in a Mathematical Model of a Periodically driven Oscillator: A theory for the entrainment of biological oscillators and the generations of cardiac dysrhythmias. Journal of Mathematical Biology. M: 1–23.CrossRefGoogle Scholar
Haken, Hermann & Fuchs, A. 1988 Pattern Recognition and Pattern Formation as Dual Processes. In: Dynamic Patterns in Complex Systems, Kelso, James A.; Mandell, Arnold J; Shleshinger, M.F., eds. Singapore: World Scientific Publishing.Google Scholar
Holyoak, Keith J. & Glass, Arnold L. 1986 Cognition. 2 ed. New York: Random House.Google Scholar
Labov, William 1970 The Study of Language in its Social Context. Studium Generale 23:66–84.Google Scholar
Mandelbrot, Beniot B. 1982 The Fractal Geometry of Nature. New York: W.H. Freeman and Company. 1985 Self-affine Fractals and the Fractal Dimension. Physica Scripta 32: 257–930.Google Scholar
Maquet, Jacques 1971 Introduction to Aesthetic Anthropology. Reading, Massachusetts: Addison-Wesley Publishing.Google Scholar
Metz, Paul W. 1983 Randomness and Correlation in Music: A new Approach to Melodic Analysis. Dissertation, University of Cincinnatti.Google Scholar
Moog, Robert 1986 MIDI: Musical Instrument Digital Interface. Journal of the Audio Engineering Society 34:5.Google Scholar
Seashore, Carl E. 1923 Measurements on the Expression of Emotion in Music. Proceedings of the National Academy of Sciences. 9: 323–25.CrossRefGoogle ScholarPubMed
Seashore, Carl E. 1932 The Vibrato. Iowa Studies in the Psychology of Music, 118–33.Google Scholar
Seeger, Charles 1953 Preface to the Description of Music. Proceedings of the Fifth Congress of the International Musicological Society, pp. 360–70.Google Scholar
Seeger, Charles 1960 On the Moods of a Music Logic. Journal of the American Musicological Society. 13:224–61.CrossRefGoogle Scholar
Sundberg, Johann 1987 The Science of the Singing Voice. Dekalb, Illinois: Northern Illinois University Press.Google Scholar
Tolbert, Elizabeth D. 1988 The Musical Means of Sorrow: The Karelian Lament. Dissertation, University of California, Los Angeles.Google Scholar
Topic, Michael 1987 Personal Communication. For the Fairlight Corporation, Rushcutters Bay, Australia.Google Scholar
Torres, Carme 1986 Temporal-Pattern Learning in Neural Models. Berlin: Springer-Verlag.Google Scholar
Vaughn, Kathryn 1988 The Music Mapper: A Computer Application for Performance Based Analysis of Cultural Variance in Digitized Patterns of Melody and Rhythm. M.A. Thesis, University of California, Los Angeles.Google Scholar
Voss, R.F. & Clarke, J. 1978 1/f Noise in Music: Music from 1/f Noise. Journal of the Accoustical Society of America. 63: 258–63.CrossRefGoogle Scholar