论文标题
嵌入为符号音乐的表示
Embeddings as representation for symbolic music
论文作者
论文摘要
一种表示音乐以包含音乐含义的方式编码音乐的代表技术将改善任何训练计算机音乐任务的模型的结果，例如旋律的产生和质量更好的和声。自然语言处理领域已经做了很多工作，以寻找一种捕获单词和句子的语义含义的方法，而单词嵌入的方法成功地展示了执行此类任务的功能。在本文中，我们尝试嵌入，以表示数据集的3个不同变化的音符，并分析该模型是否可以捕获有用的音乐模式。为此，使用T-SNE技术在投影中可视化所得的嵌入。
A representation technique that allows encoding music in a way that contains musical meaning would improve the results of any model trained for computer music tasks like generation of melodies and harmonies of better quality. The field of natural language processing has done a lot of work in finding a way to capture the semantic meaning of words and sentences, and word embeddings have successfully shown the capabilities for such a task. In this paper, we experiment with embeddings to represent musical notes from 3 different variations of a dataset and analyze if the model can capture useful musical patterns. To do this, the resulting embeddings are visualized in projections using the t-SNE technique.
