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Volumn , Issue , 2004, Pages 378-383

HIERARCHICAL ORGANIZATION AND VISUALIZATION OF DRUM SAMPLE LIBRARIES

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; LIBRARIES; USER INTERFACES;

EID: 84978700274     PISSN: 24136700     EISSN: 24136689     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (23)
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  • 7
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    • P. Cosi, G. De Poli, and G. Lauzzana, “Auditory modeling and self-organizing neural networks for timbre classification, ” Journal of New Music Research, vol. 23, pp. 71-98, 1994.
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  • 9
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    • Automatic indexing of a sound database using self-organizing neural nets
    • B. Feiten and S. Günzel, “Automatic indexing of a sound database using self-organizing neural nets, ” Computer Music Journal, vol. 18, no. 3, pp. 53-65, 1994.
    • (1994) Computer Music Journal , vol.18 , Issue.3 , pp. 53-65
    • Feiten, B.1    Günzel, S.2
  • 11
    • 0018367986 scopus 로고
    • Calculating virtual pitch
    • E. Terhardt, “Calculating virtual pitch, ” Hearing Research, vol. 1, pp. 155-182, 1979.
    • (1979) Hearing Research , vol.1 , pp. 155-182
    • Terhardt, E.1
  • 13
    • 84866492988 scopus 로고
    • Optimizing digital speech coders by exploiting masking properties of the human ear
    • M. R. Schroeder, B. S. Atal, and J. L. Hall, “Optimizing digital speech coders by exploiting masking properties of the human ear, ” Journal of the Acoustical Society of America, vol. 66, no. 6, pp. 1647-1652, 1979.
    • (1979) Journal of the Acoustical Society of America , vol.66 , Issue.6 , pp. 1647-1652
    • Schroeder, M. R.1    Atal, B. S.2    Hall, J. L.3
  • 15
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    • Distance measure for the organization of sounds
    • B. Feiten and S. Günzel, “Distance measure for the organization of sounds, ” Acustica (Research Notes), vol. 78, no. 3, pp. 181-184, 1993.
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    • Feiten, B.1    Günzel, S.2
  • 16
    • 0020068152 scopus 로고
    • Self-organizing formation of topologically correct feature maps
    • T. Kohonen, “Self-organizing formation of topologically correct feature maps, ” Biological Cybernetics, vol. 43, pp. 59-69, 1982.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 17
    • 0038376759 scopus 로고    scopus 로고
    • Content-based organization and visualization of music archives
    • Juan les Pins, France, ACM
    • E. Pampalk, A. Rauber, and D. Merkl, “Content-based organization and visualization of music archives, ” in Proceedings of the ACM Multimedia, Juan les Pins, France, 2002, pp. 570-579, ACM.
    • (2002) Proceedings of the ACM Multimedia , pp. 570-579
    • Pampalk, E.1    Rauber, A.2    Merkl, D.3
  • 18
    • 2942756202 scopus 로고    scopus 로고
    • Exploring music collections by browsing different views
    • E. Pampalk, S. Dixon, and G. Widmer, “Exploring music collections by browsing different views, ” Computer Music Journal, vol. 28, no. 2, pp. 49-62, 2004.
    • (2004) Computer Music Journal , vol.28 , Issue.2 , pp. 49-62
    • Pampalk, E.1    Dixon, S.2    Widmer, G.3
  • 21
    • 33645417934 scopus 로고    scopus 로고
    • The SOM-enhanced JukeBox: Organization and visualization of music collections based on perceptual models
    • A. Rauber, E. Pampalk, and D. Merkl, “The SOM-enhanced JukeBox: Organization and visualization of music collections based on perceptual models, ” Journal of New Music Research, vol. 32, no. 2, pp. 193-210, 2003.
    • (2003) Journal of New Music Research , vol.32 , Issue.2 , pp. 193-210
    • Rauber, A.1    Pampalk, E.2    Merkl, D.3
  • 22
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    • Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
    • October
    • M. Dittenbach, A. Rauber, and D. Merkl, “Uncovering hierarchical structure in data using the growing hierarchical self-organizing map, ” Neurocomputing, vol. 48, no. 1-4, pp. 199-216, October 2002.
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    • Dittenbach, M.1    Rauber, A.2    Merkl, D.3
  • 23
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    • A new approach to hierarchical clustering and structuring of data with self-organizing maps
    • E. Pampalk, G. Widmer, and A. Chan, “A new approach to hierarchical clustering and structuring of data with self-organizing maps, ” Journal of Intelligent Data Analysis, vol. 8, no. 2, pp. 131-149, 2004.
    • (2004) Journal of Intelligent Data Analysis , vol.8 , Issue.2 , pp. 131-149
    • Pampalk, E.1    Widmer, G.2    Chan, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.