TY - GEN
T1 - Audio Oracle analysis of musical Information Rate
AU - Dubnov, Shlomo
AU - Assayag, Gérard
AU - Cont, Arshia
PY - 2011/11/21
Y1 - 2011/11/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=81255178495&partnerID=8YFLogxK
U2 - 10.1109/ICSC.2011.106
DO - 10.1109/ICSC.2011.106
M3 - Conference contribution
AN - SCOPUS:81255178495
SN - 9780769544922
T3 - Proceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011
SP - 567
EP - 571
BT - Proceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011
T2 - 5th Annual IEEE International Conference on Semantic Computing, ICSC 2011
Y2 - 18 September 2011 through 21 September 2011
ER -