We present a method for the generation of Midi files of piano music. The method models the right and left hands using two networks, where the left hand is conditioned on the right hand. This way, the melody is generated before the harmony. The Midi is represented in a way that is invariant to the musical scale, and the melody is represented, for the purpose of conditioning the harmony, by the content of each bar, viewed as a chord. Finally, notes are added randomly, based on this chord representation, in order to enrich the generated audio. Our experiments show a significant improvement over the state of the art for training on such datasets, and demonstrate the contribution of each of the novel components.
翻译：我们提出了一个生成米迪钢琴音乐文件的方法。 方法用两个网络对左右手进行模型, 左手以右手为条件。 这样, 旋律在和谐之前产生。 米迪以与音乐规模不同的方式表现, 而旋律则以调和为目的, 由每条条内容组成, 被视为合弦。 最后, 笔记会随机添加, 以这种合弦代表方式为基础, 以丰富生成的音频。 我们的实验显示, 相对于这些数据集培训的艺术水平有显著改善, 并展示了每个小说组成部分的贡献 。
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