MetaBGM: Dynamic Soundtrack Transformation For Continuous Multi-Scene Experiences With Ambient Awareness And Personalization
Haoxuan Liu, Zihao Wang, Haorong Hong, Youwei Feng, Jiaxin Yu, Han, Diao, Yunfei Xu, and Kejun Zhang

TL;DR
MetaBGM is a novel framework that dynamically generates context-aware background music for multi-scene experiences, enhancing immersion through real-time adaptation and personalization.
Contribution
It introduces a two-stage scene-to-music generation approach that converts environmental and user data into music descriptions for real-time soundtrack creation.
Findings
Effectively generates contextually relevant music
Adapts seamlessly to scene transitions
Enhances user experience in interactive applications
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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Taxonomy
TopicsMusic Technology and Sound Studies · Music and Audio Processing · Neuroscience and Music Perception
