论文标题
探索合唱的图表表示
Exploring Graph Representation of Chorales
论文作者
论文摘要
这项工作探索了重叠的音乐，图形论和机器学习。在加权的无向图$ \ Mathcal {g} $中，节点的嵌入表示形式是一种表示嵌入空间中节点的含义的表示。在这项工作中，编译了383个Bach Chorales并表示为图。本文（i）使用\ emph {连续的单词袋（cbow），skip-gram}和\ emph {node2vec}算法研究了两种申请案例（i）学习节点嵌入表示形式，以及（ii）基于集体分类方法从相邻节点中学习的节点标签。这项探索性研究的结果确定了适用于音乐应用的基于图的表示方法的许多显着特征。
This work explores areas overlapping music, graph theory, and machine learning. An embedding representation of a node, in a weighted undirected graph $\mathcal{G}$, is a representation that captures the meaning of nodes in an embedding space. In this work, 383 Bach chorales were compiled and represented as a graph. Two application cases were investigated in this paper (i) learning node embedding representation using \emph{Continuous Bag of Words (CBOW), skip-gram}, and \emph{node2vec} algorithms, and (ii) learning node labels from neighboring nodes based on a collective classification approach. The results of this exploratory study ascertains many salient features of the graph-based representation approach applicable to music applications.
