METEOR:旋律感知、纹理可控的符号管弦乐生成器

Dinh-Viet-Toan Le, Yi-Hsuan Yang
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引用次数: 0

摘要

西方音乐通常以同音结构为特征,音乐内容可分为旋律和伴奏。特别是在管弦乐中,作曲家可以为伴奏中的每件乐器选择特定的特征,同时还可以根据演奏乐器的能力调整旋律。在这项工作中,我们提出了 METEOR 模型,这是一种用于生成旋律感知纹理可控管弦乐的模型。该模型以旋律的保真度为重点,进行多轨音乐风格的符号转换。我们允许在保持同音纹理的同时,在伴奏的小节和音轨层面对各种纹理属性进行控制。我们的研究表明,该模型可以实现与强基线相似的可控性,同时大大提高旋律的保真度。
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METEOR: Melody-aware Texture-controllable Symbolic Orchestral Music Generation
Western music is often characterized by a homophonic texture, in which the musical content can be organized into a melody and an accompaniment. In orchestral music, in particular, the composer can select specific characteristics for each instrument's part within the accompaniment, while also needing to adapt the melody to suit the capabilities of the instruments performing it. In this work, we propose METEOR, a model for Melody-aware Texture-controllable Orchestral music generation. This model performs symbolic multi-track music style transfer with a focus on melodic fidelity. We allow bar- and track-level controllability of the accompaniment with various textural attributes while keeping a homophonic texture. We show that the model can achieve controllability performances similar to strong baselines while greatly improve melodic fidelity.
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