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b10-1. 雑誌掲載論文 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/12979
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| タイトル: | Cognitive Similarity Grounded by Tree Distance from the Analysis of K.265/300e |
| 著者: | Hirata, Keiji
Tojo, Satoshi
Hamanaka, Masatoshi |
| キーワード: | time-span tree
Generative Theory of Tonal Music
cognitive reality |
| 発行日: | 2014-12-05 |
| 出版者: | Springer |
| 誌名: | Lecture Notes in Computer Science |
| 巻: | 8905 |
| 開始ページ: | 589 |
| 終了ページ: | 605 |
| DOI: | 10.1007/978-3-319-12976-1_36 |
| 抄録: | Lerdahl and Jackendoff's theory employed a tree in a representation of internal structure of music. In order for us to claim that such a tree is a consistent and stable representation, we argue that the difference of trees should correctly reflect our coginitive similarity of music. We report our experimental result concerning the comparison of similarity among variations on Ah vous dirai-je, maman, K. 265/300e by Mozart. First we measure the theoretical distance between two variations by the sum of the lengths of time-spans, and then we compare the result with the human psychological resemblance. We show the statistical analysis, and discuss the adequacy of the distance as a metric of similarity, which moreover becomes a metrics of theory. |
| Rights: | This is the author-created version of Springer, Keiji Hirata, Satoshi Tojo, Masatoshi Hamanaka, Lecture Notes in Computer Science, 8905, 2014, 589-605. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-319-12976-1_36 |
| URI: | http://hdl.handle.net/10119/12979 |
| 資料タイプ: | author |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
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| 20071.pdf | | 579Kb | Adobe PDF | 見る/開く |
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