Sonological models for timbre characterization

Journal of New Music Research

Volumn 26, Issue 2, 1997, Pages 170-197

  De Poli, Giovanni ^a   Prandoni, Paolo ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0039089100     PISSN: 09298215     EISSN: 17445027     Source Type: Journal    
DOI: 10.1080/09298219708570724     Document Type: Article

References (35)

1. Benade, A.H., 1985. Spectral envelopes of Orchestral Instruments. Journal of the Acoustic Society of America, 78(S1): S75–S76.
2. Blomberg, M., Carlson, R.K., Elenius, K., and Granstrom, B., 1983. Auditory models and isolated word recognition. STL-QPSR, 4: 1–15.
3. Bloothooft, G., and Plomp, R., 1986. Spectral analysis of sung vowels. III. Characteristics of singers and modes of singing. Journal of Acoustical Society of America, 79(4): 852–864.
4. Boatin, N., De Poli, G., and Prandoni, P., Timbre characterization with Mel-Cepstrum: a multivariate analysis. Proceedings of XI Colloquium on Musical Informatics (CIM). pp. 145–148.
5. Cosi, P., De Poli, G., and Lauzzana, G., 1994. Auditory modelling and self-organizing neural networks for timbre classification. Journal of New Music Research, 23(1): 71–98.
6. Cosi, P., De Poli, G., and Prandoni, P., Timbre characterization with Mel-Cepstrum and neural nets. Proceedings of the 1994 International Computer Music Conference. San Francisco. pp. 42–45. International Computer Music Association.
7. Davis, S.B., and Mermelstein, P., 1980. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Transactions on Acoustics, Speech, and Signal Processing, 28(4): 357–366.
8. De Poli, G., Prandoni, P., and Tonella, P., Timbre clustering by self-organizing neural networks. Proceedings of X Colloquium on Musical Informatics (CIM). pp. 102–108.
9. De Poli, G., and Tonella, P., Self-organizing neural networks and Grey's timbre space. Proceedings of the 1993 International Computer Music Conference. San Francisco. pp. 260–263. International Computer Music Association.
10. Evangelista, G., and Cavalière, S., Karplus-Strong parameter estimation. Proceedings of XI Colloquium on Musical Informatics (CIM). pp. 85–88.
11. Feiten, B., Frank, R., and Ungvary, T., Organization of sounds with neural nets. Proceedings of the 1991 International Computer Music Conference. San Francisco. pp. 441–444. International Computer Music Association.
12. Feiten, B., and Gunzel, S., 1993. Distance measure for the organization of sounds. Acustica, 78: 181–184.
13. Feiten, B., and Gunzel, S., 1994. Automatic indexing of a sound database using self-organizing neural nets. Computer Music Journal, 18(3): 53–65.
14. Furui, S., 1986. Speaker independent isolated word recognition using dynamic features of speech spectrum. IEEE Transactions on Acoustics, Speech, and Signal Processing, 34(1): 52–59.
15. Grey, J.M., 1975. An Exploration of Musical Timbre, Report STAN-M-2, Stanford, CA: Stanford University.
16. Grey, J.M., 1977. Multidimensional perceptual scaling of musical timbres. Journal of Acoustical Society of America, 61(5): 1270–1277.
17. Hermansky, H., Hanson, B.A., and Wakita, H., Perceptually based linear predictive analysis of speech. Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-84). pp. 509–512.
18. Kohonen, T., 1984. Self-Organization and Associative Memory, Berlin: Springer Verlag.
19. Kohonen, T., 1990. The self-organizing map. Proceedings of the IEEE, 78(9): 1464–1480.
20. Kronland-Martinet, R., and Grossman, A., 1991. “ Application of time-frequency and time scale methods (wavelet transform) to analysis, synthesis and transformation of natural sounds ”. In Representations of Musical Signals, Edited by: De Poli, G., Piccialli, A., and Roads, C., 42–85. Cambridge, MA: MIT Press.
21. Krimphoff, J., McAdams, S., and Winsberg, S., 1994. Caractérisation du timbre des sons complexes. II. Analysesacoustiques et quantification psychophysique. Journal de physique, 4(C5): 625–628.
22. Krumhansl, C.L., 1989. “ Why is musical timbre so hard to understand? ”. In Structure and perception of electroacoustic sound and music, Edited by: Nielzen, S., and Olsson, O., 43–53. Amsterdam: Elsevier.
23. Iverson, P., and Krumhansl, C.L., 1993. Isolating the dynamic attributes of musical timbre. Journal of Acoustical Society of America, 94: 2595–2603.
24. Léman, M., 1994. Schema-based tone center recognition of musical signals. Journal of New Music Research, 23(2): 169–204.
25. McAdams, S., Winsberg, S., Donnadieu, S., De Soete, G., and Krimphoff, J., 1995. Perceptual scaling of synthesized musical timbres: Common dimensions, specifities, and latent subject classes. Psychological Research, 58: 177–192.
26. Mannano, F., and Nobili, R., 1993. Biophysics of the cochlea I: linear approximation. Journal of Acoustical Society of America, 93: 3320–3332.
27. Nobili, R., and Mannano, F., 1996. Biophysics of the cochlea II: stationary nonlinear phenomenology. Journal of Acoustical Society of America, 99(3)
28. Rioul, O., and Vetterli, M., 1991. [Wavelets and signal processing. IEEE Signal Processing Magazine, 8(4): 14–38.
29. Seneff, S., 1988. A joint synchrony/mean-rate model of auditory speech processing. Journal of Phonetics, Special Issue, 16(1): 55–76.
30. Sundberg, J., 1991. The Science of Musical Sounds, San Diego: Academic Press.
31. Strube, H.W., 1976. Linear prediction on a warped frequency scale. Journal of Acoustical Society of America, 68(4): 1071–1076.
32. Toivianen, P., Kaipainen, M., and Louhivuori, J., 1995. Musical timbre: Similarity ratings correlate with computational feature space distances. Journal of New Music Research, 24(3): 282–298.
33. Toivianen, P., 1996. Optimizing auditory and distance metrics for self-organizing timbre maps. Journal of New Music Research, 25(1): 1–30.
34. Wessel, D., 1979. Timbre space as a musical control structure. Computer Music Journal, 3(2): 45–52.
35. Sound examples are available in the JNMR Electronic Appendix (EA) which can be found on the WWW at http://www.swets.nl/jnmr/jnmr.html