Music relationship visualization based on melody piece transition using conditional divergence

Takashi Maekaku; Hiroyuki Kasai

doi:10.1109/TCE.2012.6311349

Music relationship visualization based on melody piece transition using conditional divergence

Takashi Maekaku, Hiroyuki Kasai

Research output: Contribution to journal › Article › peer-review

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 language	English
Article number	6311349
Pages (from-to)	1006-1012
Number of pages	7
Journal	IEEE Transactions on Consumer Electronics
Volume	58
Issue number	3
DOIs	https://doi.org/10.1109/TCE.2012.6311349
Publication status	Published - 2012
Externally published	Yes

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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