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<Original Papers>Classification of three composers' popular songs using feature vectors based on the musical score information
https://kindai.repo.nii.ac.jp/records/7269
https://kindai.repo.nii.ac.jp/records/726940280ff6-bc56-4792-a2a2-edf7fb28b912
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
AN00063799-20091221-0079.pdf (927.6 kB)
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| Item type | ☆紀要論文 / Departmental Bulletin Paper(1) | |||||||||||||||||
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| 公開日 | 2011-02-22 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | <Original Papers>Classification of three composers' popular songs using feature vectors based on the musical score information | |||||||||||||||||
| 著者 |
Deguchi, Sachiko
× Deguchi, Sachiko
× Mikamoto, Shohei
× Kurose, Yoshinobu
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| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題 | feature vector, n-gram, NN rule, music classification, musical score, scale, composer, recommendation system | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
| 資源タイプ | departmental bulletin paper | |||||||||||||||||
| 著者(英) | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 値 | 出口, 幸子 | |||||||||||||||||
| 著者(英) | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 値 | 三家本, 祥平 | |||||||||||||||||
| 著者(英) | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 値 | 黒瀬, 能聿 | |||||||||||||||||
| 著者 所属 | ||||||||||||||||||
| 値 | 近畿大学大学院システム工学研究科電子情報システムクラスタ | |||||||||||||||||
| 著者 所属 | ||||||||||||||||||
| 値 | 富士通テンテクノロジ株式会社 | |||||||||||||||||
| 著者 所属 | ||||||||||||||||||
| 値 | 近畿大学大学院システム工学研究科電子情報システムクラスタ | |||||||||||||||||
| 著者所属(翻訳) | ||||||||||||||||||
| 値 | Cluster of Electronic Engineering and Information Science, Graduate School of Systems Engineering, Kinki University | |||||||||||||||||
| 著者所属(翻訳) | ||||||||||||||||||
| 値 | currently Fujitsu Ten Technology Limited | |||||||||||||||||
| 著者所属(翻訳) | ||||||||||||||||||
| 値 | Cluster of Electronic Engineering and Information Science, Graduate School of Systems Engineering, Kinki University | |||||||||||||||||
| 版 | ||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||
| 出版者 名前 | ||||||||||||||||||
| 出版者 | 近畿大学工学部 | |||||||||||||||||
| 書誌情報 |
近畿大学工学部研究報告 en : Research reports of the Faculty of Engineering, Kinki University 号 43, p. 79-84, 発行日 2009-12-01 |
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| ISSN | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 0386491X | |||||||||||||||||
| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | This paper describes the extraction of features from three composers' songs and the classification of the songs by applying the NN rule with several feature vectors. The features are extracted from the score database that was built by inputting the musical score information. This research uses several 3-dimensional feature vectors that consist of the features of 5-note patterns, notes in a musical scale, intervals in a scale, and 3-note patterns in a scale. Each axis of the feature space represents the feature of each composer. The classification result indicates that the features of pitch transitions in a scale are more effective than those without a scale. This research also uses several 9-dimensional feature vectors that are the combinations of the features used in the 3-dimensional vectors. The classification result indicates that the combinations of the features of pitch transitions in a scale and those without a scale are effective. Next, this research examines the combinations of composers. The result shows that the correct classification ratio depends on the combination of composers. A prototype system to recommend songs has been made by applying the feature space studied in this research. | |||||||||||||||||
| フォーマット | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | application/pdf | |||||||||||||||||
