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 101–119 of 119 papers

TitleStatusHype
AUTOMATED AUDIO CAPTIONING BY FINE-TUNING BART WITH AUDIOSET TAGSCode0
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning—0
Diverse Audio Captioning via Adversarial Training—0
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization—0
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting ApproachCode0
THE DCASE 2021 CHALLENGE TASK 6 SYSTEM: AUTOMATED AUDIO CAPTIONING WITH WEAKLY SUPERVISED PRE-TRAING AND WORD SELECTION METHODS—0
Audio Captioning with Composition of Acoustic and Semantic Information—0
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval—0
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning—0
Multi-task Regularization Based on Infrequent Classes for Audio CaptioningCode0
Temporal Sub-sampling of Audio Feature Sequences for Automated Audio CaptioningCode0
A Transformer-based Audio Captioning Model with Keyword Estimation—0
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation—0
Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation—0
Audio Captioning using Gated Recurrent Units—0
AudioCaps: Generating Captions for Audios in The Wild—0
Audio Caption in a Car Setting with a Sentence-Level LossCode0
An Attempt towards Interpretable Audio-Visual Video Captioning—0
Automated Audio Captioning with Recurrent Neural Networks—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