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PRISM-Bench: An Audio-Centric Diagnostic Benchmark for Text-to-Audio-Video Generation
Text-to-audio-video (T2AV) generation has advanced rapidly, but its evaluation still underestimates the audio modality. Existing benchmarks either treat audio as an auxiliary component of video quality or assess it in isolation from audiovisual grounding, making it difficult to diagnose where current systems truly succeed or fail in audio generation. We present PRISM-Bench, the first audio-centric diagnostic benchmark for T2AV generation. Built from a rigorously curated dataset of 900 human-verified samples, PRISM-Bench factorizes audio evaluation along two orthogonal axes: audio type (Speech,
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T08:27:10.000Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.