一种支持音乐未经训练者音乐创作的无音符旋律编辑方法

Q2 Arts and Humanities Journal of Creative Music Systems Pub Date : 2019-11-11 DOI:10.5920/jcms.624
Yuichi Tsuchiya, Tetsuro Kitahara
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引用次数: 0

摘要

有很多系统可以自动创造旋律。然而,当创建的旋律是不令人满意的,这是困难的音乐未经训练的人手动编辑它在传统的MIDI音序器。因此,我们提出了一种基于旋律轮廓的旋律编辑方法,旋律轮廓代表了旋律的整体形状。给定旋律,通过对旋律的音高轨迹进行傅里叶变换,提取低阶傅里叶系数,得到旋律轮廓。重新绘制轮廓后,通过提取逆过程和隐马尔可夫模型将轮廓变换为音符序列。实验结果表明:(1)对于新手来说,我们的系统比传统的钢琴卷界面更容易,(2)生成的旋律对新手和中级参与者都是令人满意的,(3)随着新手每天经历的旋律编辑,他们对自己想要的旋律的想法变得更加清晰。
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A Non-notewise Melody Editing Method for Supporting Musically Untrained People's Music Composition
There have been many systems that automatically create a melody. However, when the created melody is not satisfactory, it is difficult for musically untrained people to manually edit it on a conventional MIDI sequencer. Therefore, we propose a melody editing method based on a melodic outline, which represents the overall shape of a melody. Given a melody, its melodic outline is obtained by applying the Fourier transform to the melody's pitch trajectory and extracting low-order Fourier coefficients. After the outline is redrawn, it is transformed into a note sequence by the inverse procedure of the extraction and a hidden Markov model. Experimental results showed that (1) for novice participants, our system was easier than the conventional piano-roll interface, (2) generated melodies were satisfactory for both novice and intermediate participants, and (3) novice participants' ideas about what melody they want became clearer as they experienced melody editing everyday.
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来源期刊
Journal of Creative Music Systems
Journal of Creative Music Systems Arts and Humanities-Music
CiteScore
1.20
自引率
0.00%
发文量
8
审稿时长
12 weeks
期刊最新文献
Title Pending 1311 Oktoechos Classification and Generation of Liturgical Music using Deep Learning Frameworks Editorial: JCMS Special Issue of the first Conference on AI Music Creativity Contemporary music genre rhythm generation with machine learning Deep Music Information Dynamics Novel Framework for Reduced Neural-Network Music Representation with Applications to Midi and Audio Analysis and Improvisation
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