MetaBGM: Dynamic Soundtrack Transformation For Continuous Multi-Scene Experiences With Ambient Awareness And Personalization

Haoxuan Liu, Zihao Wang, Haorong Hong, Youwei Feng, Jiaxin Yu +3 more
9/5/2024
cs.SDcs.AIcs.HC

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Abstract

This paper introduces MetaBGM, a groundbreaking framework for generating background music that adapts to dynamic scenes and real-time user interactions. We define multi-scene as variations in environmental contexts, such as transitions in game settings or movie scenes. To tackle the challenge of converting backend data into music description texts for audio generation models, MetaBGM employs a novel two-stage generation approach that transforms continuous scene and user state data into these texts, which are then fed into an audio generation model for real-time soundtrack creation. Experimental results demonstrate that MetaBGM effectively generates contextually relevant and dynamic background music for interactive applications.

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Cite this paper

@article{liu2024metabgm,
  title  = {MetaBGM: Dynamic Soundtrack Transformation For Continuous Multi-Scene Experiences With Ambient Awareness And Personalization},
  author = {Haoxuan Liu and Zihao Wang and Haorong Hong and Youwei Feng and Jiaxin Yu and Han Diao and Yunfei Xu and Kejun Zhang},
  year   = {2024},
  eprint = {2409.03844},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.03844v1}
}

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