论文标题
贝多芬第十交响曲的方法
An approach to Beethoven's 10th Symphony
论文作者
论文摘要
路德维希·范·贝多芬（Ludwig van Beethoven）在1799年至1825年之间写了他的交响曲，当时他写了第十个交响曲。当我们处理属于他的工作的大量数据时，本文的目的是研究从符号数据中提取他的组成模型的模式的可能性，并产生他的最后一个交响曲，即第十。基于长短的记忆（LSTM）神经网络建立了神经网络模型。训练模型后，通过将输入数据与结果进行比较，并根据用于获取它们的训练数据来建立生成的输出之间的差异来分析生成的音乐。输出的结构在很大程度上取决于用于训练网络的交响曲。
Ludwig van Beethoven composed his symphonies between 1799 and 1825, when he was writing his Tenth symphony. As we dispose of a great amount of data belonging to his work, the purpose of this paper is to investigate the possibility of extracting patterns on his compositional model from symbolic data and generate what would have been his last symphony, the Tenth. A neural network model has been built based on the Long Short-Therm Memory (LSTM) neural networks. After training the model, the generated music has been analysed by comparing the input data with the results, and establishing differences between the generated outputs based on the training data used to obtain them. The structure of the outputs strongly depends on the symphonies used to train the network.
