基于描述的旋律设计拓展

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Pub Date : 2021-06-30 DOI:10.1609/aiide.v9i5.12643

Avneesh Sarwate, R. Fiebrink

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引用次数: 1

摘要

这篇正在进行的论文描述了对Pachet基于描述的设计(DBD)的尝试改进，DBD是一个使用机器学习来生成旋律的系统。我们将深入讨论基于描述的设计以及我们对Pachet原始方法的扩展。我们还提出了一项用户研究，其中用户在转换旋律方面取得了一些成功，并描述了这些结果对未来工作的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Expansion on Description-Based Design of Melodies

This work-in-progress paper describes attempted improvements on Pachet’s Description-Based Design (DBD), a system that uses machine learning to generate melodies. We discuss in depth both Description-Based Design and our extensions to Pachet’s original approach. We also present a user study in which users had some success in transforming melodies and describe the implications of these results for future work.

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Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

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