Information Technology Reference
In-Depth Information
Brown, J. C. (1992). Musical fundamental fre-
quency tracking using a pattern recognition
method.
Journal of the Acoustical Society of
America, 92
(3), 1394-1402.
Godsil, C., & Royle, G. (2001). Algebraic graph
theory.
Vol. 207. Graduate texts in mathematics
.
Springer Verlag.
Goto, M., & Muraoka, Y. (1998). Music under-
standing at the beat level real-time beat tracking
for audio signals. D. F. Rosenthal & H. G. Okuno
(Eds.),
Computational auditoryscene analysis
(pp. 157-176).
Brown J. C., & Puckette, M. S. (1993). A high
resolution fundamental frequency determination
based on phase changes of the fourier transform.
Journal of the Acoustical Society of America,
94
, 662-667.
Goto, M., & Muraoka, Y. (1999). Real-time
beat tracking for drumless audio signals: Chord
change detection for musical decisions.
Speech
Communication, 27
(34), 311-335.
Brown, J. C., & Zhang, B. (1991). Musical frequen-
cy tracking using the methods of conventional and
narrowed autocorrelation.
Journal of the Acousti-
cal Society of America, 89
(5), 2346-2354.
Goto, M. (2001). An audio-based real-time beat
tracking system for music with or withoutdrum-
sounds.
Journal of New Music Research, 30
(2),
159 - 171.
Buckley, F., & Harary, F. (1990).
Distance in
graphs
. Redwood City: Addison-Wesley.
Clausen, M., Kurth, F., Muller, M., & Arifi, V.
(2004).
Automatic synchronization of musical
data: A mathematical approach
. MIT Press.
Haus, G., & Longari, M. (2002). Towards a sym-
bolic/tim-based music language based on xml.
In
Proceedings of the First International IEEE
Conference on Musical Applications Using XML
(MAX2002).
D'Aguanno, A., Haus, G., & Vercellesi, G. (2006).
Mp3 window-switching pattern preliminary
analysis for general purposes beat tracking. In
Proceedings of the 120th AES Convention
, Paris,
France.
Haus, G., & Longari, M. (2005). A multi-layered,
timebased music description approach based on
xml.
Computer Music Journal, 29
(1), 70-85.
Davis, S., & Mermelstein, P. (1980). Experiments
in syllable-based recognition of continuous
speech. IEEE Trans. Acoust., Speech, Signal
Processing (vol. 28, pp. 357-366).
Haus, G., & Pinto, A. (2005).
A graph theoretic
approach to melodic similarity
(vol. 3310).
Haus, G., & Pollastri, E. (2000).
A multimodal
framework for music inputs
. Poster session pre-
sented at ACM Multimedia, pages 382-384.
Dixon, S. (2001). An empirical comparison of
tempo trackers. In
Proceedings of the 8th Brazil-
ian Symposium on Computer Music
.
Haus, G., & Sametti, A. (1991). Scoresynth: A
system for the synthesis of music scores based on
petri nets and a music algebra.
IEEE Computer,
24
(7), 56-60.
Dixon, S. (2001). Automatic extraction of tempo
and beat from expressive performances.
Journal
of New Music Research, 30
(1), 39-58.
Dixon, S., & Cambouropoulos, E. (2000). Beat
tracking with musical knowledge. In
Proceedings
of the 14th European Conference on Artificial
Intelligence
, pages 626-630.
Haus, G, Longari, M., & Emanuele, P. (2004).
A score-driven approach to music information
retrieval.
JASIST, 55
(12), 1045-1052.
Search WWH ::
Custom Search