A Hybrid System for Automatic Generation of Style-Specific A ccompaniment

A Hybrid System for Automatic Generation of Style-Specific A ccompaniment
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DOI:
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发表时间:
2007
期刊:
Physical review. B, Condensed matter
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通讯作者:
Ching-Hua Chuanand;E. Chew
Ching-Hua Chuanand;E. Chew
中科院分区:
其他
文献类型:
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作者:
Ching-Hua Chuanand;E. Chew

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对于业余歌曲作者来说,以一种可识别的风格创造出独特的和声可能是最困难的任务之一,一种新颖而可接受的旋律相对容易产生;这种困难可能导致放弃其他有价值的项目。为了模拟和协助这一创作过程,我们提出了一个混合系统,用于生成特定风格的伴奏,它能够以仅从少数例子中学习的风格为旋律创造新的和声,并具有适当的和声分辨率。在提出的系统中,和弦音调确定模块首先学习,然后确定给定旋律中的哪些音符可能是和弦音调。根据这些和弦音调,三和弦首先被分配给具有明确解决方案的小节,这些三和弦作为检查点。然后,系统使用检查点之间的新黎曼变换构建可能的和弦进行,并在树结构中表示替代路径。一个具有这些新黎曼变换的学习概率的马尔可夫链然后生成最后的和弦进行。我们选择了英国摇滚乐队Radiohead的四首歌曲来评估这个系统。三首歌曲用于训练,并为演奏出的旋律生成伴奏。我们提出了两个案例研究的结果。我们发现该系统产生的和弦与原音密切相关,并且由此产生的和弦过渡强化了旋律的乐句结构e。
Creating distinctive harmonizations in an identifiable sty le may be one of the most difficult tasks for amateur song writers, a novel and acceptable melody being relatively easier to produce; and this difficulty may result in the abandonment of otherwise worthwhile projects. To model and assist in this creative process, we propose a hybrid system for generating style-specific accompaniment, which is capable of creating new harmonizations for melodies, with proper harmonic resolutions, in a style that is learned from only a few examples. In the proposed system, a chord tone determination module first learns, then determines, which notes in a given melody are likely chord tones. According to these chord tones, triads are assigned first to the bars with unambiguous solutions, and these triads serve as checkpoints. The system then constructs possible chord progressions using neo-Riemannian transforms between checkpoints, and represents the alternate paths in a tree structure. A Markov chain with learned probabilities for these neo-Riemanian transforms then generates the final chord progression. We select four songs by the British rock band, Radiohead, to evaluate the system. Three songs are used for training, and an accompaniment is generated for the held out melody. We present the results of two case studies. We find that the system generates chords closely related to the original, and the resulting chord transitions reinforce the phrase structur e of the melody.