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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭士康 | |
| dc.contributor.author | Ｗei-An Chen | en |
| dc.contributor.author | 陳韋安 | zh_TW |
| dc.date.accessioned | 2021-06-17T00:40:36Z | - |
| dc.date.available | 2012-02-16 | |
| dc.date.copyright | 2012-02-16 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2012-01-18 | |
| dc.identifier.citation | [1] J. Cage and C. Berberian. Aria: with Fontana mix. Time, 1969.
[2] C. Callender, I. Quinn, and D. Tymoczko. Generalized voice-leading spaces. Sci-ence, 320(5874):346, 2008. [3] W. Chan and H. Qu. A Report on Musical Structure Visualization. 2007. [4] C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/ ̃cjlin/libsvm. [5] J. Ellson, E. Gansner, L. Koutsofios, S. North, and G. Woodhull. Graphviz open source graph drawing tools. In Graph Drawing, pages 594–597. Springer, 2002. [6] J. Foote. Visualizing music and audio using self-similarity. In ACM Multimedia, volume 1, pages 77–80. Citeseer, 1999. [7] M. Keith. From polychords to polya: adventures in musical combinatorics, page 48. Vinculum Press, 1991. [8] C. Krumhansl. The geometry of musical structure: a brief introduction and history. Computers in Entertainment (CIE), 3(4):1–14, 2005. [9] C. McKay. Automatic genre classification of MIDI recordings. PhD thesis, Citeseer, 2004. [10] B. Mokbel, A. Hasenfuss, and B. Hammer. Graph-based representation of symbolic musical data. Graph-Based Representations in Pattern Recognition, pages 42–51, 2009. [11] M. E. J. Newman. The structure and function of complex networks. ArXiv Con- densed Matter e-prints, Mar. 2003. [12] C.Sapp.Harmonicvisualizationsoftonalmusic.InProceedingsoftheInternational Computer Music Conference, volume 1001, pages 423–430. Citeseer, 2001. [13] H. Schenker. Harmony. University of Chicago Press, 1980. [14] M. Shan and F. Kuo. Music style mining and classification by melody. IEICE TRANSACTIONS on Information and Systems, 86(3):655–659, 2003. [15] J. Snydal and M. Hearst. Improviz: visual explorations of jazz improvisations. In CHI’05 extended abstracts on Human factors in computing systems, pages 1805– 1808. ACM, 2005. [16] H. Taube. Automatic tonal analysis: Toward the implementation of a music theory workbench. Computer Music Journal, 23(4):18–32, 1999. [17] E. Tufte and G. Howard. The visual display of quantitative information, volume 16, page 13. Graphics press Cheshire, CT, 1983. [18] M. Wattenberg. The shape of song. Website http://www.turbulence.org/Works/song/mono.html, 2001. [19] T. Winograd. Linguistics and the computer analysis of tonal harmony. Journal of Music Theory, 12(1):2–49, 1968. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66526 | - |
| dc.description.abstract | 音樂是有規則的時間序列, 其規則之一為和聲學。傳統和聲學規則 肇始於複音音樂,完備於主音音樂,在非調性音樂又趨於瓦解。若能 利用電腦輔助分析和聲學規則, 則可以幫助理解音樂, 甚至創造新的音 樂規則。
本論文將音樂行進之和聲取出, 並以圖論為模型, 企圖描述音樂背後 隱含的和聲規則。 將此模型視覺化, 可發現其與傳統和聲理論有不謀 而合之處。本文重點之一在於描述此模型與和聲學之異同。 此外, 利用社群網路分析之技巧, 得以擷取圖之若干特徵, 這些特徵 表現了不同音樂風格之特性。利用機器學習方法, 擷取之特徵作為資 料, 可以驗證這些特徵值的確能夠體現並分辨不同風格之音樂。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2021-06-17T00:40:36Z (GMT). No. of bitstreams: 1 ntu-100-R98942051-1.pdf: 4754523 bytes, checksum: 5e66f2ebd15dec5dd75ccbb7a2e80936 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 致謝 i
中文摘要 ii 1 Introduction 1 1.1 Motivation.................................. 1 1.2 KeyContribution .............................. 2 1.3 LiteratureSurveyandRelatedWorks.................... 3 1.4 ChapterOutline............................... 4 2 Music Theory Background 6 2.1 ChromaticScale............................... 6 2.2 MajorScaleandTriad............................ 7 2.3 TonalityandRulesofHarmony....................... 7 2.4 Harmonic Characteristic of Polyphonic, Homophonic, and Atonal Music . 8 2.5 HarmonicRhythmandNotationalRhythm................. 8 3 Social Network Analysis Background 10 3.1 GraphTheoryandSocialNetworkAnalysis . . . . . . . . . . . . . . . . 10 3.2 StatisticPropertiesofaNetwork ...................... 11 3.2.1 AveragePathLength ........................ 11 3.2.2 ClusterCoefficient ......................... 11 3.2.3 PowerLaw ............................. 12 4 Harmony Graph, the Model 13 4.1 DefinitionofHarmony ........................... 13 4.2 EncodingofHarmony............................ 13 4.3 ConstructionofHarmonyGraph ...................... 14 5 Results and Discussions 17 5.1 TheFiveCategories............................. 17 5.2 CorpusVisualization ............................ 17 5.3 SocialNetworkAnalysis .......................... 21 5.3.1 DegreeDistribution......................... 22 5.3.2 AveragePathLength ........................ 22 5.3.3 ClusteringCoefficient ....................... 26 5.3.4 Agglomeration ........................... 26 5.4 CorpusDistinguishing ........................... 28 6 Conclusion and Future Works 29 6.1 Conclution.................................. 29 6.2 FutureWorks ................................ 29 Bibliography 31 Appendix 33 | |
| dc.language.iso | en | |
| dc.subject | 社群網路分析 | zh_TW |
| dc.subject | 風格辨識 | zh_TW |
| dc.subject | 資訊視覺化 | zh_TW |
| dc.subject | 音樂視覺化 | zh_TW |
| dc.subject | music visualization | en |
| dc.subject | information visualization | en |
| dc.subject | social network analysis | en |
| dc.subject | genre classification | en |
| dc.title | Harmony Graph: 基於社群網路之音樂內容表示模型及其在音樂視覺化和風格辨認之應用 | zh_TW |
| dc.title | Harmony Graph, a Social-Network Based Model for Symbolic Music Content, and its Application to Music Visualization and Genre Classification | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 楊建章,趙菁文,沈錳坤 | |
| dc.subject.keyword | 音樂視覺化,資訊視覺化,社群網路分析,風格辨識, | zh_TW |
| dc.subject.keyword | music visualization,information visualization,social network analysis,genre classification, | en |
| dc.relation.page | 35 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-01-19 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 4.64 MB | Adobe PDF |
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