Compilation of References - Intelligent Music Information Systems: Tools and Methodologies - page 331

Attneave, F. & Olson, R. K. (1971). Pitch as a medium:
A new approach to psychophysical scaling. American
Journal of Psychology , 84 , 147-166.

Baumann, S. (2003). Music Similarity Analysis in a
P2P environment. In Proceedings of the 4 th European
Workshop on Image Analysis for Multimedia Interactive
Services , pages 314-319, London, UK

Aucouturier, J. and Pachet , F. (2003). Representing
musical genre: A state of the art. Journal of New Music
Research, 32 (1), 83-93.

Baumann, S., Pohle, T., & Shankar, V. (2004). Towards
a socio-cultural compatibility of MIR systems. In
Proceedings of the International Conference on Music
Information Retrieval .

Aucouturier, J.-J., & Pachet, F. (2002). Music similarity
measures: What's the use? In Proceedings of the Inter-
national Symposium on Music Information Retrieval . Bechtold, S. (2002). Vom Urheber- zum Information-

srecht, Implikationen des Digital Rights Management.
München, Verlag C.H. Beck oHG.

Baeza-Yates, R. & Ribeiro-Neto, B. (1999). Modern
information retrieval . New York: ACM Press.

Beckmann, N., Kriegel, H., & Seeger, B. (1990). The
R*-tree: An efficient and robust method for points and
rectangles. In Proceedings ACM International Confer-
ence on Knowledge Discovery and Data Mining (SIG-
KDD) (pp. 322-331).

Baggi, D. (1995, November). Presentation of the Technical
Committee on Computer-Generated Music. Computer.

Bainbridge, D., Nevill-Manning, C. G., Witten, I. H.,
Smith, L. A. & McNab, R. J. (1999). Towards a digital
library of popular music. In Proceedings of the Fourth
ACM International Conference on Digital Libraries
(DL'99) (pp. 161-169). Berkeley, California.

Berenzweig, A., & Ellis, D. (2001). Locating singing
voice segments within music signals. In Proceedings of
the IEEE Workshop on Applications of Signal Processing
to Audio and Acoustics, New York. Balaban, M., Ebcioglu, K., & Laske, O. (1992). Under-

standing music with AI. Perspectives on music cognition .
Boston: The MIT Press.

Berenzweig, A., Logan, B., Ellis, D. P. W. & Whitman,
B. (2004). A large-scale evaluation of acoustic and
subjective music-similarity measures. Computer Music
Journal , 28 (2), 63-76.

Baochun, L., & Wang, K.-H. (2003). NonStop: Continu-
ous multimedia streaming in wireless ad-hoc networks
with node mobility. IEEE Journal on Selected Areas in
Communications , 21 (10), 1627-1641.

Bernstein, A. D., & Cooper E. D. (1976, July/August). The
piecewise-linear technique of electronic music synthesis.
J. Audio Eng. Soc., 24 (6).

Baratè, A., Haus, G., Ludovico, L. A., & Vercellesi, G.
(2005). MXDemo: A case study about audio, video,
and score synchronization. In Proceedings of Axmedis
2005 .

Birmingham, W. P., Dannenberg, R. B., Wakefield, G.
H., Bartsch, M., Bykowski, D., Mazzoni, D., Meek,
C., Mellody, M. & Rand, W. (2001). MUSART: Music
retrieval via aural queries. In Proceedings of the Inter-
national Conference on Music Information Retrieval
(pp. 73-82).

Bartlett, J. C. & Dowling, W. J. (1980). Recognition of
transposed melodies: A key-distance effect in develop-
mental perspective. Journal of Experimental Psychology:
Human Perception and Performance , 6 (3), 501-515.

Blackburn, S. & DeRoure, D. (1998). A tool for content-
based navigation of music. In Proceedings of the ACM
Multimedia Conference (pp. 361-368).

Basaldella, D. & Orio, N. (2006). An application of
weighted transducers to music information retrieval.
In Proceedings of Electronic Imaging (pp. 607306/1-
607306/10).

Blostein, D., Lank, E., Rose, A., & Zanibbi, R. (2002).
User interfaces for on-line diagram recognition. In D.
Blostein & Y. B. Kwon (Eds.), Graphics recognition: