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 | |
| 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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Cite this
Maekaku, T., & Kasai, H. (2012). Music relationship visualization based on melody piece transition using conditional divergence. IEEE Transactions on Consumer Electronics, 58(3), 1006-1012. [6311349]. https://doi.org/10.1109/TCE.2012.6311349