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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.
This paper proposes a novel approach for stable UAV–user device pairing based on matching algorithms, which offer higher throughput and satisfaction and introduces a hierarchical matching game, where user clusters and UAVs are the players in the game.
WrAFT achieves state-of-the-art performance in scoring, with a quadratic weighted kappa (QWK) of 0.84 and a root mean square error (RMSE) of 0.44 against official scores on a scale of 0-5.
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