论文标题
Musicaiz：用于符号音乐生成，分析和可视化的Python库
musicaiz: A Python Library for Symbolic Music Generation, Analysis and Visualization
论文作者
论文摘要
在本文中，我们提出了一个面向对象的库Musicaiz，用于分析，生成和评估符号音乐。该软件包的子模型允许用户从头开始创建符号音乐数据，构建算法以分析符号音乐，将MIDI数据编码为代币以训练深度学习序列模型，修改现有音乐数据并评估音乐生成系统。评估子模块基于先前的工作，以客观地测量音乐生成系统并能够重现音乐生成模型的结果。该图书馆可在线公开提供。我们鼓励社区做出贡献并提供反馈。
In this article, we present musicaiz, an object-oriented library for analyzing, generating and evaluating symbolic music. The submodules of the package allow the user to create symbolic music data from scratch, build algorithms to analyze symbolic music, encode MIDI data as tokens to train deep learning sequence models, modify existing music data and evaluate music generation systems. The evaluation submodule builds on previous work to objectively measure music generation systems and to be able to reproduce the results of music generation models. The library is publicly available online. We encourage the community to contribute and provide feedback.
