DocumentCode
2058520
Title
Audio Oracle Analysis of Musical Information Rate
Author
Dubnov, Shlomo ; Assayag, Gérard ; Cont, Arshia
Author_Institution
Music Dept., Univ. of California in San Diego, La Jolla, CA, USA
fYear
2011
fDate
18-21 Sept. 2011
Firstpage
567
Lastpage
571
Abstract
This paper presents a method for analysis of changes in information contents in music based on an audio representation called Audio Oracle (AO). Using compression properties of AO we estimate the amount of information that passes between the past and the present at every instance in a musical signal. This formulation extends the notion of Information Rate (IR) to individual sequences and allows an optimal estimation of the AO threshold parameter. We show that changes in IR correspond to significant musical structures such as sections in a sonata form. Relation to musical perception and applications for composition and improvisation are discussed in the paper.
Keywords
audio coding; data compression; music; parameter estimation; AO threshold parameter estimation; audio compression; audio oracle analysis; musical information rate; musical signal; Arrays; Complexity theory; Encoding; Humans; Information rates; Markov processes; Mutual information;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location
Palo Alto, CA
Print_ISBN
978-1-4577-1648-5
Electronic_ISBN
978-0-7695-4492-2
Type
conf
DOI
10.1109/ICSC.2011.106
Filename
6061373
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