Music relationship visualization based on melody piece transition using conditional divergence

Takashi Maekaku, Hiroyuki Kasai

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a proposal for music mapping considering melody piece transition for a browsing system to visualize mood distances among music. Especially, we use the Melodies Markov model proposed in an earlier report to calculate some Conditional Divergences and to express a music relationship on a 2-D map applying two dimension reduction methods: Principal Component Analysis and Hermitian Form Model. We also compare these combinations of distance measure and mapping method and analyze which is useful for visualization of the relevance among genres or the relevance among artists.

Original languageEnglish
Article number6311349
Pages (from-to)1006-1012
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Volume58
Issue number3
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Conditional divergence
  • Hermitian form model
  • Markov chain
  • Music browsing system

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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