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Paper · arXiv

CAF-Score: Calibrating CLAP with LALMs for Reference-free Audio Captioning Evaluation

While Large Audio-Language Models (LALMs) have advanced audio captioning, robust evaluation remains difficult. Reference-based metrics are expensive and often fail to assess acoustic fidelity, while Contrastive Language-Audio Pretraining (CLAP)-based approaches frequently overlook syntactic errors and fine-grained details. We propose CAF-Score, a reference-free metric that calibrates CLAP's coarse-grained semantic alignment with the fine-grained comprehension and syntactic awareness of LALMs. By combining contrastive audio-text embeddings with LALM reasoning, CAF-Score effectively detects syntactic inconsistencies and subtle hallucinations. Experiments on the BRACE benchmark demonstrate t...

AuthorsInsung Lee, Taeyoung Jeong, Haejun Yoo et al.
Primary categorycs.SD
Published20 March 2026
Last updated at source20 March 2026
cs.SDcs.AIcs.CL
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