An Analysis on Melody Affective and Its Application to Automated Composition
碩士 === 國立交通大學 === 工學院聲音與音樂創意科技碩士學位學程 === 102 === Many researches review that music is composed by three factors which are melody, rhythm and harmony, and melody is the most important of all. We concluded that rhythm and mode are contributed to musical melody, and then makes these two factors as vari...
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ndltd-TW-102NCTU52480022016-07-02T04:20:29Z http://ndltd.ncl.edu.tw/handle/50726733370388358091 An Analysis on Melody Affective and Its Application to Automated Composition 音樂旋律意象感知在自動作曲之分析研究 連育賢 碩士 國立交通大學 工學院聲音與音樂創意科技碩士學位學程 102 Many researches review that music is composed by three factors which are melody, rhythm and harmony, and melody is the most important of all. We concluded that rhythm and mode are contributed to musical melody, and then makes these two factors as variable to do the musical auditory experiments. In this research, the theoretical base is automatic composition and we use kansei engineering as the experiment method. Therefore, we can construct a subject of kansei engineering system musical analysis by it. The part of hearing experiences, before it we selected 39 adjectives for 35 testers by document research and assistances of experts. We applied markov chains to analyze tonal music to construct markov chains tables of pentatonic mode, then use metric complexity to contribute rhythm. At last, we adopted computer automatic composition system to generate samples from 5 sorts of pentatonic mode and 6 kinds of rhythm complexity, then producted 30 varities music samples.The results of the experience, we can conclude three image perception factors by Factor Analysis, which are passionate - indifferent、beautiful - ugly、romantic - rigid. Moreover, we use MANOVA and MDS to get image perception scale at the same time. Above all, we realized mode and rhythm can help musicians and computer compose system to create difference melody affective efficiently. 黃志方 成維華 2013 學位論文 ; thesis 90 zh-TW |
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碩士 === 國立交通大學 === 工學院聲音與音樂創意科技碩士學位學程 === 102 === Many researches review that music is composed by three factors which are melody, rhythm and harmony, and melody is the most important of all. We concluded that rhythm and mode are contributed to musical melody, and then makes these two factors as variable to do the musical auditory experiments. In this research, the theoretical base is automatic composition and we use kansei engineering as the experiment method. Therefore, we can construct a subject of kansei engineering system musical analysis by it. The part of hearing experiences, before it we selected 39 adjectives for 35 testers by document research and assistances of experts. We applied markov chains to analyze tonal music to construct markov chains tables of pentatonic mode, then use metric complexity to contribute rhythm. At last, we adopted computer automatic composition system to generate samples from 5 sorts of pentatonic mode and 6 kinds of rhythm complexity, then producted 30 varities music samples.The results of the experience, we can conclude three image perception factors by Factor Analysis, which are passionate - indifferent、beautiful - ugly、romantic - rigid. Moreover, we use MANOVA and MDS to get image perception scale at the same time. Above all, we realized mode and rhythm can help musicians and computer compose system to create difference melody affective efficiently.
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黃志方 |
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黃志方 連育賢 |
author |
連育賢 |
spellingShingle |
連育賢 An Analysis on Melody Affective and Its Application to Automated Composition |
author_sort |
連育賢 |
title |
An Analysis on Melody Affective and Its Application to Automated Composition |
title_short |
An Analysis on Melody Affective and Its Application to Automated Composition |
title_full |
An Analysis on Melody Affective and Its Application to Automated Composition |
title_fullStr |
An Analysis on Melody Affective and Its Application to Automated Composition |
title_full_unstemmed |
An Analysis on Melody Affective and Its Application to Automated Composition |
title_sort |
analysis on melody affective and its application to automated composition |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/50726733370388358091 |
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