Mar 2026· Proceedings of the 26th ACM International Conference on Intelligent Virtual Agents· 0 citations· 14 references
Computer Science
TL;DR
MusicGen-small, MusicGen-large, and Stable Audio 2.5 achieve the lowest pooled acoustic distances and the highest audio–audio CLAP similarity under structural rephrasing, while MusicGen-large has the highest audio–audio CLAP similarity under lexical substitutions and intensity shifts.
Abstract
Recent text-to-audio models enable adaptive game soundtracks, but small prompt changes can cause abrupt musical shifts. We evaluate MusicGen-small, MusicGen-large, and Stable Audio 2.5 under Minimal Lexical Substitution, Intensity Shifts, and Structural Rephrasing using log-Mel distance, MFCC/chroma-DTW, and CLAP similarity. Stable Audio 2.5 achieves the lowest pooled acoustic distances and the highest audio–audio CLAP similarity under structural rephrasing, while MusicGen-large has the highest audio–audio CLAP similarity under lexical substitutions and intensity shifts. Stable Audio 2.5 also shows the greatest between-seed variation in prompt-to-audio alignment, demonstrating the importance of multi-seed robustness evaluation for adaptive game audio.
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