"computing with words" concept applied to musical information retrieval

Electronic Notes in Theoretical Computer Science

Volumn 82, Issue 4, 2003, Pages 141-152

  Kostek, Bozena ^a  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Computing with words; Fuzzy logic; MPEG7; Musical Information Retrieval; Rough sets; Soft computing

Indexed keywords

AUTOMATION; COMPUTER GRAPHICS; FUZZY SETS; INFORMATION RETRIEVAL; MUSICAL INSTRUMENTS; ROUGH SET THEORY; SEMANTICS; SPEECH RECOGNITION;

COMPUTING WITH WORDS; MPEG7; MUSICAL INFORMATION RETRIEVAL; SOFT COMPUTING;

COMPUTER MUSIC;

EID: 18944372252     PISSN: 15710661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1571-0661(04)80713-8     Document Type: Conference Paper

References (30)

1. Beauchamp, J. W., Unix Workstation Software for Analysis, Graphics, Modification, and Synthesis of Musical Sounds, Proc. 94th Conv. of the Audio Engineering Society, preprint 3479, J. Audio Eng. Soc.(Abstracts), 41 (1993), 387.
2. De Bruijn A. Timbre-Classification of Complex Tones. Acustica. 40:1978;108-114
3. Cook P.R. "Music, Cognition, and Computerized Sound, An Introduction to Psychoacoustics" 1999;MIT Press
4. Czyzewski A. Speaker-Independent Recognition of Isolated Words Using Rough Sets. J. Information Sciences. 104:1998;3-14
5. Czyzewski A. Intelligent Acquisition of Audio Signal Employing Neural Network and Rough Set Algorithms. "Rough-Neuro Computing: A Way to Computing with Words" Series on Artificial Intelligence :2002;Springer Verlag
6. Grey J.M. Multidimensional perceptual scaling of musical timbres. J. Acoust. Soc. Am. 61:(5):1977;1270-1277
7. Herrera P., X., Amatriain E., Battle, and X., Serra, Towards Instrument Segmentation for Music Content Description: A Critical Review of instrument classification techniques, Proceedings Int. Symp. on Music Information Retrieval, ISMIR'2000, Plymouth, MA, (2000).
8. Iverson P., Krumhansl C.L. Isolating the dynamic attributes of musical timbre. J. Acoust. Soc. Am. 94:(5):1993
9. Jensen K., The timbre model, Workshop on current research directions in computer music, Barcelona, Spain, (2001).
10. Kostek B. "Soft Computing in Acoustics, Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics" Studies in Fuzziness and Soft Computing. 1999;Physica Verlag, Heidelberg, New York
11. Kostek B., Czyzewski A. Representing Musical Instrument Sounds for Their Automatic Classification. J. Audio Eng. Soc. 49:(9):2001;768-785
12. Krimphoff J., McAdams S., Winsberg S. Caracterisation du timbre des sons complexes. II. Analyses acoustiques et quantification psychophysique. J. Phys. 4:1994;625-628
13. Lindsay A.T., Herre J. MPEG-7 and MPEG-7 Audio - an Overview. J. Audio Engineering Society. 49:(7/8):2001;589-594
14. McAdams S., Winsberg S. Multidimensional scaling of musical timbre constrained by physical parameters. J. Acoust. Soc. Am. 105:1999;. 1273 (A)
15. MPEG-7 Overview, ISO/IEC JTC1/SC29/WG11, CODING OF MOVING PICTURES AND AUDIO, Klangenfurt, Germany, July (2002). URL: http://mpeg.telecomitalialab.com/ standards/mpeg-7/mpeg-7.htm.
16. Pawlak Z. Rough Sets. J. Computer and Information Science. 11:(5):1982;341-356
17. Pollard H.F., Jansson E.V. A Tristimulus Method for the Specification of Musical Timbre. Acustica. 51:1982;162-171
18. De Poli G., Piccialli A., Roads C. "Representations of Musical Signals" 1991;MIT Press, Cambridge, MA
19. De Poli, G., S., Canazza, C., Drioli, A., Roda, A., Vidolin, and P., Zanon, Analysis and modeling of expressive intentions in music performance, Proc. of the Intern. Workshop on Human Supervision and Control in Engineering and Music, Kassel, Germany, Sept. 21-24 (2001), URL: http://www. engineeringandmusic.de/workshop/.
20. Pratt R.L., Doak P.E. A subjective rating scale for timbre. J. Sound and Vibration. 45:(3):1976;317-328
21. Pratt R.L., Bowsher J.M. The subjective assessment of trombone quality. J. Sound and Vibration. 57:(3):1978;425-435
22. Reuter, CH., Karl Erich Schumann's principles of timbre as a helpful tool in stream segregation research, Proc. II. Intern. Conf. on Cognitive Musicology, Belgium, (1996).
23. Skowron A. Data Filtration: a Rough Set Approach. Ziarko W.P. "Rough Sets, Fuzzy Sets and Knowledge Discovery" 1994;108-118 Springer-Verlag, London
24. Vercoe B., Gardner W., Schreier E., Structured Audio: Creation, Transmission, and Rendering of Parametric Sound Representations, Proc. IEEE, B6, 5, 1008.
25. Wessel D.L. Timbre Space as a Musical Control Structure. Computer Music J. 3:(2):1979;45-52
26. Zadeh L. Fuzzy logic = Computing with words. IEEE Transactions on Fuzzy Systems. 2:1996;103-111
27. Zadeh L. From Computing with Numbers to Computing with Words - From Manipulation of Measurements to Manipulation of Perceptions. IEEE Transactions on Circuits and Systems. 45:1999;105-119
28. Zadeh L. Fuzzy logic, neural networks, and soft computing. Communications of the ACM. 37:1994;77-84
29. URL: http://www.soft-computing.de/def.html.
30. URL: http://www.pa.info.mie-u.ac.jp/WFSC/.