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

September 05, 2024 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Haoxuan Liu, Zihao Wang, Haorong Hong, Youwei Feng, Jiaxin Yu, Han Diao, Yunfei Xu, Kejun Zhang arXiv ID 2409.03844 Category cs.SD: Sound Cross-listed cs.AI, cs.HC, cs.MM, eess.AS Citations 1 Venue arXiv.org Last Checked 4 months ago
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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