论文标题
深层音乐一代缺少什么？对流行音乐的重复和结构的研究
What is missing in deep music generation? A study of repetition and structure in popular music
论文作者
论文摘要
结构是音乐最重要的方面之一，音乐结构通常通过重复表示。但是，音乐中的重复和结构的性质仍然不太了解，尤其是在音乐发电的背景下，音乐信息检索（MIR）技术仍然有待探索。 Analyses of two popular music datasets (Chinese and American) illustrate important music construction principles: (1) structure exists at multiple hierarchical levels, (2) songs use repetition and limited vocabulary so that individual songs do not follow general statistics of song collections, (3) structure interacts with rhythm, melody, harmony, and predictability, and (4) over the course of a song, repetition is not random, but follows a general trend as revealed by跨肠道。这些发现和其他发现提供了挑战以及深入学习音乐的机会，并提出了新的正式音乐标准和评估方法。分析了最近的音乐发电系统的音乐，并将其与我们数据集中的人类组成的音乐进行了比较，从结构的角度来看，通常会揭示出惊人的差异。
Structure is one of the most essential aspects of music, and music structure is commonly indicated through repetition. However, the nature of repetition and structure in music is still not well understood, especially in the context of music generation, and much remains to be explored with Music Information Retrieval (MIR) techniques. Analyses of two popular music datasets (Chinese and American) illustrate important music construction principles: (1) structure exists at multiple hierarchical levels, (2) songs use repetition and limited vocabulary so that individual songs do not follow general statistics of song collections, (3) structure interacts with rhythm, melody, harmony, and predictability, and (4) over the course of a song, repetition is not random, but follows a general trend as revealed by cross-entropy. These and other findings offer challenges as well as opportunities for deep-learning music generation and suggest new formal music criteria and evaluation methods. Music from recent music generation systems is analyzed and compared to human-composed music in our datasets, often revealing striking differences from a structural perspective.
