SOTAVerified

Audio captioning

Audio Captioning is the task of describing audio using text. The general approach is to use an audio encoder to encode the audio (example: PANN, CAV-MAE), and to use a decoder (example: transformer) to generate the text. To judge the quality of audio captions, though machine translation metrics (BLEU, METEOR, ROUGE) and image captioning metrics (SPICE, CIDER) are used, they are not very well-suited. Attempts have been made to use pretrained language model based metrics such as Sentence-BERT.

Papers

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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VASTCIDEr0.78Unverified
2VALORCIDEr0.74Unverified
3MQ-CapSPIDEr0.52Unverified
4SLAM-AACSPIDEr0.52Unverified
5LAVCapSPIDEr0.52Unverified
6EnCLAP++-largeSPIDEr0.51Unverified
7AutoCapSPIDEr0.51Unverified
8LOAESPIDEr0.51Unverified
9EnCLAP++-baseSPIDEr0.5Unverified
10EnCLAP-largeSPIDEr0.5Unverified
#ModelMetricClaimedVerifiedStatus
1VASTCIDEr0.52Unverified
2VALORCIDEr0.42Unverified
3SLAM-AACSPIDEr0.33Unverified
4LOAESPIDEr0.33Unverified
5MQ-CapSPIDEr0.32Unverified
6EnsembleSPIDEr0.32Unverified
7Audio Flamingo (Pengi trainset)SPIDEr0.31Unverified
8Ensemble-RLSPIDEr0.3Unverified
9Qwen-AudioSPIDEr0.29Unverified
10EnsembleSPIDEr0.21Unverified