METEOR: Melody-aware Texture-controllable Symbolic Orchestral Music Generation
<|reference_start|>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.<|reference_end|>
@article{le2024meteor:,
    title={METEOR: Melody-aware Texture-controllable Symbolic Orchestral Music
  Generation},
    author={Dinh-Viet-Toan Le, Yi-Hsuan Yang},
    journal={arXiv preprint arXiv:2409.11753},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.11753},
    primaryClass={cs.SD eess.AS}
}