Spectral anticipations

Shlomo Dubnov

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


A novel approach to (automatic) analysis of audio and music based on an "anticipation profile" is proposed. The ideas are developed from a background of information theory and basis decomposition, through the idea of a vector approach to the anticipation measurement, and ending with some higher-level reflections on its meaning for complex musical signals. The anticipation profile is estimated by evaluating the reduction in the uncertainty (entropy) of a variable resulting from prediction based on the past. Algorithms for estimation of the anticipation profile are presented, with applications for audio signal characterization and music analysis. This measure is also shown to resolve several ill-defined aspects of the structure-versus-noise problem in music and includes the listener as an integral part of structural analysis of music.

Original languageEnglish
Pages (from-to)63-83
Number of pages21
JournalComputer Music Journal
Issue number2
StatePublished - 1 Jun 2006
Externally publishedYes

ASJC Scopus subject areas

  • Media Technology
  • Music
  • Computer Science Applications


Dive into the research topics of 'Spectral anticipations'. Together they form a unique fingerprint.

Cite this