AINeutralarXiv – CS AI · Mar 175/10
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Evaluating Semantic Fragility in Text-to-Audio Generation Systems Under Controlled Prompt Perturbations
Researchers evaluated the semantic fragility of text-to-audio generation systems, finding that small changes in prompts can lead to substantial variations in generated audio output. While larger models like MusicGen-large showed better semantic consistency, all models exhibited persistent divergence in acoustic and temporal characteristics even when semantic similarity remained high.