Audio Oracle analysis of musical Information Rate

Shlomo Dubnov, Gérard Assayag, Arshia Cont

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011
Pages567-571
Number of pages5
DOIs
StatePublished - 21 Nov 2011
Externally publishedYes
Event5th Annual IEEE International Conference on Semantic Computing, ICSC 2011 - Palo Alto, CA, United States
Duration: 18 Sep 201121 Sep 2011

Publication series

NameProceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011

Conference

Conference5th Annual IEEE International Conference on Semantic Computing, ICSC 2011
Country/TerritoryUnited States
CityPalo Alto, CA
Period18/09/1121/09/11

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