DocumentCode :
2414026
Title :
Progress towards recognizing and classifying beautiful music with computers - MIDI-encoded music and the Zipf-Mandelbrot law
Author :
Manaris, Bill ; Purewal, Tarsem ; McCormick, Charles
Author_Institution :
Coll. of Charleston, SC, USA
fYear :
2002
fDate :
2002
Firstpage :
52
Lastpage :
57
Abstract :
We discuss the application of the Zipf-Mandelbrot law on musical pieces encoded in MIDI. Our hypothesis is that this will allow us to computationally identify and emphasize aesthetic aspects of music. We have identified an initial set of attributes (metrics) of music pieces on which to apply the Zipf-Mandelbrot law. These metrics include pitch of musical events, duration of musical events, the combination of pitch and duration of musical events, and several others. An experimental study of 33 MIDI-encoded pieces supports this hypothesis
Keywords :
audio coding; music; pattern classification; MIDI-encoded music; Zipf-Mandelbrot law; aesthetic aspects; beautiful music recognition; music classification; musical events; musical pieces; Application software; Artificial intelligence; Educational institutions; Fluctuations; Humans; Instruments; Multiple signal classification; Music; Performance analysis; Timbre;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SoutheastCon, 2002. Proceedings IEEE
Conference_Location :
Columbia, SC
Print_ISBN :
0-7803-7252-2
Type :
conf
DOI :
10.1109/.2002.995557
Filename :
995557
Link To Document :
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