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題名 流行音樂組曲之電腦音樂編曲
Computer Music Arrangement for Popular Music Medley
作者 董信宗
Tung,Hsing-Tsung
貢獻者 沈錳坤
Shan,Man-Kwan
董信宗
Tung,Hsing-Tsung
關鍵詞 組曲編曲
音樂分段
線性排列
模型訓練
間奏產生
旋律發展
和弦進程
節奏辨識
音樂動機探勘
基因演算法
Medley Arrangement
Music Segmentation
Linear Arrangement
Model Training
Bridge Generation
Melody Progression
Chord Progression
Rhythm Recognition
Music Motivic Mining
Genetic Algorithm
日期 2006
上傳時間 19-Sep-2009 12:09:55 (UTC+8)
摘要 在音樂中,組曲是一種特別的創作形式。組曲將多首音樂段落組合排列,並且在音樂段落之間加入間奏,形成一首音樂組曲。組曲的編曲重點在於音樂段落的編排順序及段落之間的連結。平時在宴會、舞會、餐廳、賣場等場合中,往往都會連續播放多首流行音樂。利用電腦編曲自動產生流行音樂組曲,將可提升播放音樂的銜接與流暢感。
因此,本研究利用資料探勘技術及音樂編曲理論,將多首音樂重新改編成一首組曲。系統首先將每首音樂分段並找出每首音樂的代表段落。接著,系統根據代表段落間的相似度編排順序。最後,為了達到組曲中音樂段落連接的流暢性,我們以模型訓練的方式在段落連結間加入間奏。系統從訓練資料學習產生旋律發展、和弦進程與節奏的模型,接著分析代表段落的動機、旋律、和弦及節奏,使得組曲編曲後的段落連結更為流暢且完整。本研究以流行音樂鋼琴伴奏曲為測試資料,我們分別邀請三十四位受過音樂訓練與未受音樂訓練的測試者,針對本研究所提出的鋼琴伴奏節奏辨識、代表段落萃取、段落順序編排及間奏產生,評估其效果。實驗結果顯示,本研究所提出的順序編排與間奏產生技術,對於組曲的流暢感,有著相當大的幫助。
In music, a medley is an organized piece composed from segments of existing pieces. Ordering and bridge for connection between segments are the important elements for medley arrangement. Automatic medley arrangement is helpful for playing a set of music continuously which is common in banquet, party, restaurant, shopping mall, etc..
This thesis aims to develop the automatic medley arrangement method by using data mining techniques and music arrangement theory. The proposed method first segments each music and discovers the significant segment from each music. Then, the linear arrangement based on the similarities between significant segments is generated. Finally, in order to connect segments smoothly in the medley, the bridge between two segments is generated and inserted by using model training. Three models, melody progression, chord progression and rhythm models are learned from training data. For the experiments, testing data is collected from popular piano music and thirty-four people are invited to evaluate the effectiveness of the rhythm recognition of accompaniment, the extraction of significant segment, the linear arrangement of segments, and the creation of bridge. Experimental results show that the proposed medley arrangement method performs well.
參考文獻 [1] 江亦帆,數位音樂科技整合應用,典絃音樂文化,民國95年。
[2] 何旻璟,以主題為基礎的音樂結構性分析,政治大學資訊科學系碩士論文,民國93年。
[3] 李永剛,實用歌曲作法,全音樂譜出版社,民國71年。
[4] 李宏儒、鄭雯妮與張智星,以統計方法與音樂理論為基礎之哼唱譜曲系統,第七屆人工智慧與應用研討會,台中,民國91年,頁634-638。
[5] 吳源鈁,和聲學,歐風音樂文化,民國83年。
[6] 姚邦佳與劉志俊,MP3 音樂物件的自動化摘要,數位生活與網際網路科技研討會, 民國92年,台南,頁1-10。
[7] 孫宇虹與蕭良悌,和弦進行-活用與演奏,典絃音樂文化國際事業,民國95年。
[8] 陳建銘,國語流行歌曲中的編曲工作,台大音樂學研究所碩士論文,民國90年。
[9] 傅思為,基於終止式理論的自動譜和弦系統,清華大學資訊工程學系碩士論文,
民國93年。
[10] 董信宗與沈錳坤,基植於音樂風格的電腦音樂自動伴奏,第五屆數位典藏研討會,台北,民國95年,頁125-132。
[11] 黎翁斯坦,潘皇龍譯,音樂的結構與風格,全音樂譜出版社,民國63年。
[12] 劉永康與蕭良悌,通琴達理:和聲與樂理,典絃音樂文化國際事業,民國95年。
[13] B. B. Ashton and N. L. Colbaugh, You Can Teach Yourself to Compose Music, MelBay, August 1996.
[14] A. Berndt, K. Hartmann, N. Rober and Maic Masuch, Composition and Arrangement Techniques for Music in Interactive Immersive Environments, Proceedings of the Audio Mostly Conference, 2006.
[15] J. J. Block and R. B. Dannenberg, Real-Time Computer Accompaniment of Keyboard Performances, Proceedings of the International Computer Music Conference, 1985.
[16] A. R. Brown, An Aesthetic Comparison of Rule-based and Genetic Algorithms for Generating Melodies, Proceeding of the Organised Sound, 2004.
[17] A. T. Cemgil and B. Kappen, Tempo Tracking and Rhythm Quantization by Sequential Monte Carlo, Proceedings of the Neural Information Processing Systems, 2001.
[18] A. T. Cemgil, P. Desain and B. Kappen, Rhythm Quantization for Transcription, Computer Music Journal, Vol. 24, No. 2, 2000.
[19] W. Chai and B. Vercoe, Detection of Key Change in Classical Piano Music, Proceedings of the International Conference on Music Information Retrieval, 2005.
[20] C. W. Chang, Y. K. Wu and H. C. Jiau, A Practical Chord Arrangement Algorithm for Monophonic Music, Proceedings of the Tenth Conference on Artificial Intelligence and Applications, 2005.
[21] H. C. Chen, C. H. Lin and Arbee L. P. Chen, Music Segmentation by Rhythmic Features and Melodic Shapes, Proceedings of the IEEE International Conference on Multimedia and Expo, 2004.
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[31] T. T. Godfried, A Comparison of Rhythmic Similarity Measures, Proceedings of the International Conference on Music Information Retrieval, 2004
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[40] N. C. Maddage, C. S. Xu, M. S. Kankanhalli and X. Shao, Content-based Music Structure Analysis with Applications to Music Semantics Understanding, Proceedings of the ACM International Conference on Multimedia, 2004
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[45] C. Raphael, Automated Rhythm Transcription, Proceedings of the International Conference on Music Information Retrieval, 2001
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[53] J. C. Yoon, I. K. Lee and H. C. Lee, Feature-Based Synchronization of Video and Background Music, Proceedings of International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, 2006.
描述 碩士
國立政治大學
資訊科學學系
94753031
95
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0094753031
資料類型 thesis
dc.contributor.advisor 沈錳坤zh_TW
dc.contributor.advisor Shan,Man-Kwanen_US
dc.contributor.author (Authors) 董信宗zh_TW
dc.contributor.author (Authors) Tung,Hsing-Tsungen_US
dc.creator (作者) 董信宗zh_TW
dc.creator (作者) Tung,Hsing-Tsungen_US
dc.date (日期) 2006en_US
dc.date.accessioned 19-Sep-2009 12:09:55 (UTC+8)-
dc.date.available 19-Sep-2009 12:09:55 (UTC+8)-
dc.date.issued (上傳時間) 19-Sep-2009 12:09:55 (UTC+8)-
dc.identifier (Other Identifiers) G0094753031en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/37105-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊科學學系zh_TW
dc.description (描述) 94753031zh_TW
dc.description (描述) 95zh_TW
dc.description.abstract (摘要) 在音樂中,組曲是一種特別的創作形式。組曲將多首音樂段落組合排列,並且在音樂段落之間加入間奏,形成一首音樂組曲。組曲的編曲重點在於音樂段落的編排順序及段落之間的連結。平時在宴會、舞會、餐廳、賣場等場合中,往往都會連續播放多首流行音樂。利用電腦編曲自動產生流行音樂組曲,將可提升播放音樂的銜接與流暢感。
因此,本研究利用資料探勘技術及音樂編曲理論,將多首音樂重新改編成一首組曲。系統首先將每首音樂分段並找出每首音樂的代表段落。接著,系統根據代表段落間的相似度編排順序。最後,為了達到組曲中音樂段落連接的流暢性,我們以模型訓練的方式在段落連結間加入間奏。系統從訓練資料學習產生旋律發展、和弦進程與節奏的模型,接著分析代表段落的動機、旋律、和弦及節奏,使得組曲編曲後的段落連結更為流暢且完整。本研究以流行音樂鋼琴伴奏曲為測試資料,我們分別邀請三十四位受過音樂訓練與未受音樂訓練的測試者,針對本研究所提出的鋼琴伴奏節奏辨識、代表段落萃取、段落順序編排及間奏產生,評估其效果。實驗結果顯示,本研究所提出的順序編排與間奏產生技術,對於組曲的流暢感,有著相當大的幫助。
zh_TW
dc.description.abstract (摘要) In music, a medley is an organized piece composed from segments of existing pieces. Ordering and bridge for connection between segments are the important elements for medley arrangement. Automatic medley arrangement is helpful for playing a set of music continuously which is common in banquet, party, restaurant, shopping mall, etc..
This thesis aims to develop the automatic medley arrangement method by using data mining techniques and music arrangement theory. The proposed method first segments each music and discovers the significant segment from each music. Then, the linear arrangement based on the similarities between significant segments is generated. Finally, in order to connect segments smoothly in the medley, the bridge between two segments is generated and inserted by using model training. Three models, melody progression, chord progression and rhythm models are learned from training data. For the experiments, testing data is collected from popular piano music and thirty-four people are invited to evaluate the effectiveness of the rhythm recognition of accompaniment, the extraction of significant segment, the linear arrangement of segments, and the creation of bridge. Experimental results show that the proposed medley arrangement method performs well.
en_US
dc.description.tableofcontents 中文摘要................................................i
英文摘要...............................................ii
誌謝..................................................iii
第一章 概論.............................................1
1.1 動機..............................................1
1.2 論文架構..........................................3
第二章 相關文獻..........................................4
2.1 相關研究..........................................4
2.2 音樂編曲..........................................6
第三章 組曲編曲.........................................12
3.1 系統架構.........................................12
3.2 音樂分段(Music Segmentation).....................13
3.3 線性排列(Linear Arrangement).....................18
3.4 模型訓練(Model Training).........................22
3.4.1 概論........................................22
3.4.2 旋律發展(Melody Progression).................23
3.4.3 和弦進程(Chord Progression)..................23
3.4.4 節奏模型(Rhythm Model).......................26
3.5 組曲產生(Medley Generation)......................28
3.5.1 編曲基本要素決定..............................30
3.5.2 節奏產生.....................................31
3.5.3 和弦產生.....................................34
3.5.4 旋律與伴奏產生................................36
3.5.5 基因演算法(Genetic Algorithm)................38
第四章 實驗............................................41
第五章 結論與未來研究...................................48
參考文獻...............................................49
zh_TW
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0094753031en_US
dc.subject (關鍵詞) 組曲編曲zh_TW
dc.subject (關鍵詞) 音樂分段zh_TW
dc.subject (關鍵詞) 線性排列zh_TW
dc.subject (關鍵詞) 模型訓練zh_TW
dc.subject (關鍵詞) 間奏產生zh_TW
dc.subject (關鍵詞) 旋律發展zh_TW
dc.subject (關鍵詞) 和弦進程zh_TW
dc.subject (關鍵詞) 節奏辨識zh_TW
dc.subject (關鍵詞) 音樂動機探勘zh_TW
dc.subject (關鍵詞) 基因演算法zh_TW
dc.subject (關鍵詞) Medley Arrangementen_US
dc.subject (關鍵詞) Music Segmentationen_US
dc.subject (關鍵詞) Linear Arrangementen_US
dc.subject (關鍵詞) Model Trainingen_US
dc.subject (關鍵詞) Bridge Generationen_US
dc.subject (關鍵詞) Melody Progressionen_US
dc.subject (關鍵詞) Chord Progressionen_US
dc.subject (關鍵詞) Rhythm Recognitionen_US
dc.subject (關鍵詞) Music Motivic Miningen_US
dc.subject (關鍵詞) Genetic Algorithmen_US
dc.title (題名) 流行音樂組曲之電腦音樂編曲zh_TW
dc.title (題名) Computer Music Arrangement for Popular Music Medleyen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] 江亦帆,數位音樂科技整合應用,典絃音樂文化,民國95年。zh_TW
dc.relation.reference (參考文獻) [2] 何旻璟,以主題為基礎的音樂結構性分析,政治大學資訊科學系碩士論文,民國93年。zh_TW
dc.relation.reference (參考文獻) [3] 李永剛,實用歌曲作法,全音樂譜出版社,民國71年。zh_TW
dc.relation.reference (參考文獻) [4] 李宏儒、鄭雯妮與張智星,以統計方法與音樂理論為基礎之哼唱譜曲系統,第七屆人工智慧與應用研討會,台中,民國91年,頁634-638。zh_TW
dc.relation.reference (參考文獻) [5] 吳源鈁,和聲學,歐風音樂文化,民國83年。zh_TW
dc.relation.reference (參考文獻) [6] 姚邦佳與劉志俊,MP3 音樂物件的自動化摘要,數位生活與網際網路科技研討會, 民國92年,台南,頁1-10。zh_TW
dc.relation.reference (參考文獻) [7] 孫宇虹與蕭良悌,和弦進行-活用與演奏,典絃音樂文化國際事業,民國95年。zh_TW
dc.relation.reference (參考文獻) [8] 陳建銘,國語流行歌曲中的編曲工作,台大音樂學研究所碩士論文,民國90年。zh_TW
dc.relation.reference (參考文獻) [9] 傅思為,基於終止式理論的自動譜和弦系統,清華大學資訊工程學系碩士論文,zh_TW
dc.relation.reference (參考文獻) 民國93年。zh_TW
dc.relation.reference (參考文獻) [10] 董信宗與沈錳坤,基植於音樂風格的電腦音樂自動伴奏,第五屆數位典藏研討會,台北,民國95年,頁125-132。zh_TW
dc.relation.reference (參考文獻) [11] 黎翁斯坦,潘皇龍譯,音樂的結構與風格,全音樂譜出版社,民國63年。zh_TW
dc.relation.reference (參考文獻) [12] 劉永康與蕭良悌,通琴達理:和聲與樂理,典絃音樂文化國際事業,民國95年。zh_TW
dc.relation.reference (參考文獻) [13] B. B. Ashton and N. L. Colbaugh, You Can Teach Yourself to Compose Music, MelBay, August 1996.zh_TW
dc.relation.reference (參考文獻) [14] A. Berndt, K. Hartmann, N. Rober and Maic Masuch, Composition and Arrangement Techniques for Music in Interactive Immersive Environments, Proceedings of the Audio Mostly Conference, 2006.zh_TW
dc.relation.reference (參考文獻) [15] J. J. Block and R. B. Dannenberg, Real-Time Computer Accompaniment of Keyboard Performances, Proceedings of the International Computer Music Conference, 1985.zh_TW
dc.relation.reference (參考文獻) [16] A. R. Brown, An Aesthetic Comparison of Rule-based and Genetic Algorithms for Generating Melodies, Proceeding of the Organised Sound, 2004.zh_TW
dc.relation.reference (參考文獻) [17] A. T. Cemgil and B. Kappen, Tempo Tracking and Rhythm Quantization by Sequential Monte Carlo, Proceedings of the Neural Information Processing Systems, 2001.zh_TW
dc.relation.reference (參考文獻) [18] A. T. Cemgil, P. Desain and B. Kappen, Rhythm Quantization for Transcription, Computer Music Journal, Vol. 24, No. 2, 2000.zh_TW
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