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Research questionHow can we diagnose audio generation and audiovisual grounding failures in text-to-audio-video systems?Benchmarks often treat audio as secondary to video quality or evaluate it separately, making it difficult to identify failures in audio generation and synchronization. Visible and off-screen sound sources can create different audiovisual grounding challenges.
AI
Audio & Speech
Audio & Speech Processing
Evaluation & Benchmarks
Multimodal Models
Video Generation
Latest papersRecent research connected to this question, newest first.PRISM-Bench: An Audio-Centric Diagnostic Benchmark for Text-to-Audio-Video GenerationThe source describes a 900-sample human-verified benchmark using blind side-by-side comparisons with ground-truth references and an enhanced MLLM-as-a-Judge protocol. It reports over 70% mean agreement with human raters and finds particular weaknesses in music generation and synchronized on-screen audio, while also observing differences between frontier and open-source systems.research paper · Sep 9, 2026
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