首页 SonataInPython:使用神经网络算法生成的音乐文献-源码

SonataInPython:使用神经网络算法生成的音乐文献-源码

上传者： 42134117 | 上传时间： 2021-07-20 11:09:17 | 文件大小： 580KB | 文件类型： ZIP
奏鸣曲 使用神经网络算法生成的音乐文献 灵感 莫扎特可能会用C语言写奏鸣曲，但我的C语言并不如意。 因此，我用Python编写了我的代码。 我一直都在构建webapp，而我刚刚完成了ML课程，所以我想尝试一下。 另外，现在我们可以看看艺术是否可以科学生成？ 它能做什么 Python中的奏鸣曲可读取一系列MIDI文件，其中大多数是莫扎特或贝多芬创作的钢琴奏鸣曲。 这充当了神经网络的训练集。 网络的输入节点采用前5个音符的时长和频率以及当前音符，前3个和弦进行音色以及其他谱号上的相应音符。 输出节点产生序列中下一个音符的持续时间和频率，将其反馈为后续音符的输入。 我是如何建造的 高音谱号（右手）有一个神经网络，低音谱号（左手）有一个神经网络。 这是因为较高的右手音符通常会演奏独特的旋律，而较低的左手音符通常会重复而较慢的和弦。 我想确保这两种截然不同的音乐风格不会混淆神经网络。 我遇到的挑战

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