Information sensibility as a cultural characteristic: Tuning to sound details for aesthetic experience

Shlomo Dubnov, Kevin Burns, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The question of effectively communicating an artwork in a cultural context relies on joint understanding of certain creative conventions that are shared between an artist and his audience. Modeling of such cultural entrainment requires representation of a style that is specific to each genre, a task that depends in turn on particular compositional rules and aesthetic sensibilities of each culture. In this chapter we extend our previous research on machine learning of musical style into a broader approach of modeling aesthetic communication. The underlying cognitive assumption of our model is that listener’s experience of music is a process of actively seeking explanation by reducing the complexity of an incoming stream of sound through a process of approximation and prediction. Musical Information Dynamic is an analysis method that measures changes in the amount of information contents of musical signal over time. Motivated by semiotic analysis, we apply information dynamics analysis in order to measure the tradeoff between accuracy or level of approximation of a signal as captured by its basic units, and its overall information contents derived from its repetition structure. This approach allows us to formally analyze cultural communication in terms of aesthetic and poietic levels in paradigmatic analysis. Comparisons of flute recordings from Western and Far Eastern cultures show that optimal sensibilities to acoustic nuances that maximize the amount of information carried through larger structural elements in music are culture dependent.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages43-62
Number of pages20
Edition9783319428710
DOIs
Publication statusPublished - 2016 Jan 1

Publication series

NameSpringerBriefs in Computer Science
Number9783319428710
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

Fingerprint

Tuning
Acoustic waves
Semiotics
Communication
Dynamic analysis
Learning systems
Acoustics

Keywords

  • Acoustic sensibility
  • Audio feature
  • Information rate
  • Suffix tree
  • Symbolic sequence

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Dubnov, S., Burns, K., & Kiyoki, Y. (2016). Information sensibility as a cultural characteristic: Tuning to sound details for aesthetic experience. In SpringerBriefs in Computer Science (9783319428710 ed., pp. 43-62). (SpringerBriefs in Computer Science; No. 9783319428710). Springer. https://doi.org/10.1007/978-3-319-42873-4_3

Information sensibility as a cultural characteristic : Tuning to sound details for aesthetic experience. / Dubnov, Shlomo; Burns, Kevin; Kiyoki, Yasushi.

SpringerBriefs in Computer Science. 9783319428710. ed. Springer, 2016. p. 43-62 (SpringerBriefs in Computer Science; No. 9783319428710).

Research output: Chapter in Book/Report/Conference proceedingChapter

Dubnov, S, Burns, K & Kiyoki, Y 2016, Information sensibility as a cultural characteristic: Tuning to sound details for aesthetic experience. in SpringerBriefs in Computer Science. 9783319428710 edn, SpringerBriefs in Computer Science, no. 9783319428710, Springer, pp. 43-62. https://doi.org/10.1007/978-3-319-42873-4_3
Dubnov S, Burns K, Kiyoki Y. Information sensibility as a cultural characteristic: Tuning to sound details for aesthetic experience. In SpringerBriefs in Computer Science. 9783319428710 ed. Springer. 2016. p. 43-62. (SpringerBriefs in Computer Science; 9783319428710). https://doi.org/10.1007/978-3-319-42873-4_3
Dubnov, Shlomo ; Burns, Kevin ; Kiyoki, Yasushi. / Information sensibility as a cultural characteristic : Tuning to sound details for aesthetic experience. SpringerBriefs in Computer Science. 9783319428710. ed. Springer, 2016. pp. 43-62 (SpringerBriefs in Computer Science; 9783319428710).
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