This paper introduces a system that learns to sing new tunes by listening to examples. It extracts sequencing rules from input music and uses these rules to generate new tunes, which are sung by a vocal synthesiser. We developed a method to represent rules for musical composition as quantum circuits. We claim that such musical rules are quantum native: they are naturally encodable in the amplitudes of quantum states. To evaluate a rule to generate a subsequent event, the system builds the respective quantum circuit dynamically and measures it. After a brief discussion about the vocal synthesis methods that we have been experimenting with, the paper introduces our novel generative music method through a practical example. The paper shows some experiments and concludes with a discussion about harnessing the creative potential of the system.
翻译:本文引入了一个通过聆听实例来学习唱新曲子的系统。 它从输入音乐中提取排序规则, 并使用这些规则来生成新曲子, 由声学合成器播放。 我们开发了一种方法来代表音乐组成规则, 作为量子电路。 我们声称, 这些音乐规则是量子原生的: 它们自然可以在量子状态的振幅中隐含。 为了评估一项规则来产生随后的事件, 系统以动态的方式构建了相应的量子电路, 并测量了它。 在简单讨论了我们一直在试验的声学合成方法之后, 论文通过一个实用的例子介绍了我们的新颖的基因化音乐方法。 论文展示了一些实验, 并最后讨论了如何利用系统的创造性潜力。