Music relationship visualization based on melody transition using Conditional Divergence for music browsing system

Takashi Maekaku, Hiroyuki Kasai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes music mapping considering melody transition for browsing system to visualize mood distances among tunes. Especially, we use the Melodies Markov model proposed in [1] to calculate Conditional Divergence and express music relationship on 2-D map applying two Multi-dimensional Scaling (MDS) methods 1.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages43-44
Number of pages2
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 2012 Jan 132012 Jan 16

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference2012 IEEE International Conference on Consumer Electronics, ICCE 2012
CountryUnited States
CityLas Vegas, NV
Period12/1/1312/1/16

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Maekaku, T., & Kasai, H. (2012). Music relationship visualization based on melody transition using Conditional Divergence for music browsing system. In 2012 IEEE International Conference on Consumer Electronics, ICCE 2012 (pp. 43-44). [6161729] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2012.6161729