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Ancient Chinese Zither (Guqin) Music Recovery with Support Vector Machine

机译:支持向量机的古琴古琴音乐恢复

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摘要

The Chinese zither, called guqin, has existed for over 3,000 years and always played an important role in Chinese social history. An interesting but unfortunate fact is that the traditional notation of guqin music does not provide the duration information for each music note which requires the player to learn from his teacher and memorize. As a result, among several thousands of compositions that have been created and recorded with guqin music notation, only around 100 of them are still being played today. In this article we use a machine learning method to study the guqin music recovery problem which tries to use the guqin music notation to recover the duration of each music note. Information provided by the music note is used as features to predict the duration information with a support vector machine. The experimental result shows that our system can predict with fair accuracy, and can be used as a valuable reference for human guqin masters to recover guqin music.
机译:中国古筝古琴已经存在了3000多年,在中国社会历史上一直发挥着重要作用。一个有趣但不幸的事实是,古琴音乐的传统记法没有提供每个音符的持续时间信息,这要求演奏者向他的老师学习并记住。结果,在以古琴音乐符号创建和录制的数千首乐曲中,如今仍只播放其中的约100首。在本文中,我们使用一种机器学习方法来研究古琴音乐恢复问题,该问题试图使用古琴音乐符号来恢复每个音符的持续时间。由音符提供的信息用作支持向量机预测持续时间信息的功能。实验结果表明,该系统可以准确预测,可以为古琴演奏大师恢复古琴音乐提供有价值的参考。

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