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