Does timbrai brightness scale with frequency and spectral centroid?

Acta Acustica united with Acustica

Volumn 92, Issue 5, 2006, Pages 820-825

  Schubert, Emery ^a   Wolfe, Joe ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ACOUSTIC VARIABLES MEASUREMENT; CORRELATION METHODS; MATHEMATICAL MODELS; NATURAL FREQUENCIES;

BRIGHTNESS SCALE; FREQUENCY SPECTRUM; FUNDAMENTAL FREQUENCIES; SINGLE TONE;

SPECTRUM ANALYSIS;

EID: 33750327364     PISSN: 16101928     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (14)

1. J. M. Grey, J. W. Gordon: Perceptual effects of spectral modifications on musical timbres. Journal of the Acoustical Society of America 63 (1978) 1493-1500.
2. S. McAdams et al.: Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes. Psychological Research 58 (1995) 177-192.
3. S. Handel, M. L. Erickson: Sound source identification: The possible role of timbre transformations. Music. Perception 21 (2004) 587-610.
4. E. Zwicker, H. Fasti: Psychoacoustics: Facts and models. Springer-Verlag, New York, 1990.
5. R. Kendall, E. Carterette: Difference thresholds for timbre related to spectral centroid. Proceedings of the 4th International Conference on Music Perception and Cognition, Montreal, Canada, 1996, 91-95.
6. R. Kendall: Musical timbre beyond a single note, II: Interactions of pitch chroma and spectral centroid. Proceedings of the 7th International Conference on Music Perception and Cognition, Sydney: Causal Productions, Adelaide, 2002, 596-599.
7. J. Marozeau et al.: The dependency of timbre on fundamental frequency. Journal of the Acoustical Society of America 114 (2003) 2946-2957.
8. C. L. Krumhansl: Cognitive foundations of musical pitch. Oxford University Press, New York, 1990.
9. D. Cabrera: Psysound: A computer program for the psychoacoustical analysis of music. Mikropolyphonie 5 (1999) http://www.mikropol.net/ accessed June 14, 2006.
10. K. Jensen: The timbre model. Workshop on current research directions in computer music, Barcelona, Spain, 2001, 174-186.
11. K. Benedini: A functional model of timbre differences. Biological Cybernetics 34 (1979) 111-117.
12. M. Ilkowska, A. Miskiewicz: Sharpness versus brightness: A comparison of magnitude estimates. Acta Acustica united with Acustica 92 (2006) (this issue).
13. E. Schubert: A model for timbre perception. Undergraduate thesis, School of Electrical Engineering. University of New South Wales, Sydney, 1985.
14. E. Schubert: Modeling perceived emotion with continuous musical features. Music Perception 21 (2004) 561-585.