Music relationship visualization based on melody piece transition using conditional divergence

Takashi Maekaku, Hiroyuki Kasai

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号6311349
ページ(範囲)1006-1012
ページ数7
ジャーナルIEEE Transactions on Consumer Electronics
58
3
DOI
出版ステータスPublished - 2012
外部発表はい

ASJC Scopus subject areas

  • メディア記述
  • 電子工学および電気工学

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