Automatic music generation systems have gained in popularity and sophistication as advances in cloud computing have enabled large-scale complex computations such as deep models and optimization algorithms on personal devices. Yet, they still face an important challenge, that of long-term structure, which is key to conveying a sense of musical coherence. We present the MorpheuS music generation system designed to tackle this problem. MorpheuS’ novel framework has the ability to generate polyphonic pieces with a given tension profile and long- and short-term repeated pattern structures. A mathematical model for tonal tension quantifies the tension profile and state-of-the-art pattern detection algorithms extract repeated patterns in a template piece. An efficient optimization metaheuristic, variable neighborhood search, generates music by assigning pitches that best fit the prescribed tension profile to the template rhythm while hard constraining long-term structure through the detected patterns. This ability to generate affective music with specific tension profile and long-term structure is particularly useful in a game or film music context. Music generated by the MorpheuS system has been performed live in concerts.

中文翻译：

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MorpheuS：生成具有约束模式和张力的结构化音乐

随着云计算的进步使大规模复杂计算成为可能，例如个人设备上的深度模型和优化算法，自动音乐生成系统越来越受欢迎和复杂。然而，他们仍然面临着一个重要的挑战，即长期结构的挑战，这是传达音乐连贯感的关键。我们展示了旨在解决这个问题的 MorpheuS 音乐生成系统。MorpheuS 的新颖框架能够生成具有给定张力曲线和长期和短期重复模式结构的复音片段。音调张力的数学模型量化了张力分布，最先进的图案检测算法可提取模板片中的重复图案。一种高效的优化元启发式，可变邻域搜索，通过将最适合指定张力曲线的音高分配给模板节奏，同时通过检测到的模式硬约束长期结构，从而生成音乐。这种生成具有特定张力轮廓和长期结构的情感音乐的能力在游戏或电影音乐环境中特别有用。MorpheuS 系统生成的音乐已在音乐会上现场演出。