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 76–100 of 119 papers

TitleStatusHype
Automated Audio Captioning via Fusion of Low- and High- Dimensional Features—0
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity—0
Audio Retrieval with WavText5K and CLAP TrainingCode1
Language-based Audio Retrieval Task in DCASE 2022 Challenge—0
An investigation on selecting audio pre-trained models for audio captioning—0
Automated Audio Captioning and Language-Based Audio RetrievalCode0
Language-based Audio Retrieval Task in DCASE 2022 ChallengeCode0
Automated Audio Captioning with Epochal Difficult Captions for Curriculum Learning—0
Multimodal Knowledge Alignment with Reinforcement LearningCode1
Automated Audio Captioning: An Overview of Recent Progress and New Challenges—0
Caption Feature Space Regularization for Audio CaptioningCode0
Interactive Audio-text Representation for Automated Audio Captioning with Contrastive Learning—0
Leveraging Pre-trained BERT for Audio Captioning—0
Joint Speech Recognition and Audio Captioning—0
Automatic Audio Captioning using Attention weighted Event based Embeddings—0
Local Information Assisted Attention-free Decoder for Audio CaptioningCode0
Audio Retrieval with Natural Language Queries: A Benchmark StudyCode1
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
Can Audio Captions Be Evaluated with Image Caption Metrics?Code1
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization—0
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement LearningCode1
Audio Captioning TransformerCode1
CL4AC: A Contrastive Loss for Audio CaptioningCode1
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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