| Presentation | 2007-07-03 Proposal on Popular Music Clustering Method Focused the Chord Progression Pattern Makiko NAGASAWA, Chiemi WATANABE, Takayuki ITO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are various music in the world, classical music, jazz, and popular music. Target of our study is mining of relativity among popular music and their attributes, such as composer, raking of hit charts, date of release, and among features of listener's favorite music, focusing on the popular music. For these achievements, we perform clustering focusing on the chord progression that based on music and invariance is high. In the previous work, we proposed similarity measure of chord progression of music data and we classified several Japanese pop music data. In this paper, we reports two experiments using the similarity measure. First, we visualize the relation clustering results to analyze the relation between the chord progression and their song's metadata such as title, performer and producer. Second, we improve the similarity measure of chord progression using typical chord progression pattern. In our proposed measure, each block of chord progression is represented as combination of typical chord patterns, a distance of two chord progressions is calculated based on vector space model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Clustering / Mining / Music information processing / Visualization |
| Paper # | DE2007-84 |
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| Committee | DE |
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| Conference Date | 2007/6/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal on Popular Music Clustering Method Focused the Chord Progression Pattern |
| Sub Title (in English) | |
| Keyword(1) | Clustering |
| Keyword(2) | Mining |
| Keyword(3) | Music information processing |
| Keyword(4) | Visualization |
| 1st Author's Name | Makiko NAGASAWA |
| 1st Author's Affiliation | Graduate Division of Mathematics and Computer Science , Ochanomizu University() |
| 2nd Author's Name | Chiemi WATANABE |
| 2nd Author's Affiliation | Department of Natural and Advanced Science, Ochanomizu University |
| 3rd Author's Name | Takayuki ITO |
| 3rd Author's Affiliation | Department of Natural and Advanced Science, Ochanomizu University |
| Date | 2007-07-03 |
| Paper # | DE2007-84 |
| Volume (vol) | vol.107 |
| Number (no) | 131 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |