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

Showing 61–70 of 119 papers

TitleStatusHype
Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning—0
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and DatasetCode2
Pengi: An Audio Language Model for Audio TasksCode2
A Whisper transformer for audio captioning trained with synthetic captions and transfer learningCode1
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and DatasetCode2
Efficient Audio Captioning Transformer with Patchout and Text Guidance—0
Prefix tuning for automated audio captioningCode1
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal ResearchCode2
Towards Generating Diverse Audio Captions via Adversarial Training—0
Impact of visual assistance for automated audio captioning—0
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Benchmark Results

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