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
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;
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
DOI :
10.1109/ICSC.2011.106
