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 1–10 of 119 papers

TitleStatusHype
video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language ModelsCode2
AC/DC: LLM-based Audio Comprehension via Dialogue Continuation—0
CLAP-ART: Automated Audio Captioning with Semantic-rich Audio Representation Tokenizer—0
FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual FusionCode2
Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning—0
TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretraining—0
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP—0
Solla: Towards a Speech-Oriented LLM That Hears Acoustic ContextCode0
Mellow: a small audio language model for reasoningCode2
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities—0
Show:102550
← PrevPage 1 of 12Next →

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