SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data
<|reference_start|>SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data: We present SONIQUE, a model for generating background music tailored to video content. Unlike traditional video-to-music generation approaches, which rely heavily on paired audio-visual datasets, SONIQUE leverages unpaired data, combining royalty-free music and independent video sources. By utilizing large language models (LLMs) for video understanding and converting visual descriptions into musical tags, alongside a U-Net-based conditional diffusion model, SONIQUE enables customizable music generation. Users can control specific aspects of the music, such as instruments, genres, tempo, and melodies, ensuring the generated output fits their creative vision. SONIQUE is open-source, with a demo available online.<|reference_end|>
@article{zhang2024sonique:,
    title={SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual
  Data},
    author={Liqian Zhang, Magdalena Fuentes},
    journal={arXiv preprint arXiv:2410.03879},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.03879},
    primaryClass={cs.SD cs.MM eess.AS}
}