Energy Spectrum-Based Analysis of Musical Sounds Using Self-Organizing Map

IEICE Transactions on Information and Systems

Volumn E86-D, Issue 9, 2003, Pages 1934-1938

  Masugi, Masao ^a  

^a NTT Network Service Systems Laboratories   (Japan)

Author keywords

Energy spectrum; Musical sound; Musical work; Self organizing map

Indexed keywords

ALGORITHMS; COMPACT DISKS; DATA REDUCTION; PARAMETER ESTIMATION; SELF ORGANIZING MAPS; SPECTRUM ANALYSIS; VECTORS;

ENERGY SPECTRUM; MUSICAL SOUNDS;

ACOUSTICS;

EID: 1642377181     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. C. Palmer and C.L. Krumhansl, "Pitch and temporal contribution to musical phrase perception: Effects of harmony, performance timing, and familiarity," Perception & Psychophysics, vol.41, no.6, pp.505-518, 1987.
2. G. Widmer, "Understanding and learning musical expression," Proc. ICMC, pp.268-275, Tokyo Japan, 1993.
3. G.J. Brown and M. Cooke, "Perceptual grouping of musical sounds: A computational model," J. New Music Research, vol.23, pp.107-132, 1994.
4. S. McAdams, "Cognitive psychology of music," in Mind-Brain Continuum, ed. R.R. Llinas and P.S. Churchland, pp.251-279, MIT Press, 1996.
5. H. Honing, "From time to time: The representation of timing and tempo," Computer Music Journal, vol.35, no.3, pp.50-61, 2001.
6. T. Kohonen, "The self-organizing maps," Proc. IEEE, vol.78, no.9, pp. 1464-1480, 1990.
7. T. Kohonen, Self-organizing maps, Second extended edition, chapter 3, Springer, Berlin, Heidelberg, 1997.
8. R.L. Fante, Signal analysis and estimation, an introduction, John Wiley & Sons, NY, 1988.
9. D.J. Weiss, "Multivariable procedures," in Handbook of Industrial and Organization Psychology, ed. M.D. Dunnette, pp.327-362, John Wiley & Sons, NY, 1983.
10. E. Zwicker and R. Feldtkeller, Das ohr als Nachrichtenempfanger, Hirzel Verlag, Stuttgart, 1967.
11. ITU R Recommendation BS.1387, "Method for objective measurements of perceptual audio quality," 1998.