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 101119 of 119 papers

TitleStatusHype
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting ApproachCode0
THE SJTU SYSTEM FOR DCASE2021 CHALLENGE TASK 6: AUDIO CAPTIONING BASED ON ENCODER PRE-TRAINING AND REINFORCEMENT LEARNINGCode1
THE DCASE 2021 CHALLENGE TASK 6 SYSTEM: AUTOMATED AUDIO CAPTIONING WITH WEAKLY SUPERVISED PRE-TRAING AND WORD SELECTION METHODS0
Audio Captioning with Composition of Acoustic and Semantic Information0
MusCaps: Generating Captions for Music AudioCode1
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval0
WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency InformationCode1
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning0
Multi-task Regularization Based on Infrequent Classes for Audio CaptioningCode0
Temporal Sub-sampling of Audio Feature Sequences for Automated Audio CaptioningCode0
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation0
A Transformer-based Audio Captioning Model with Keyword Estimation0
Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation0
Audio Captioning using Gated Recurrent Units0
Clotho: An Audio Captioning DatasetCode1
AudioCaps: Generating Captions for Audios in The Wild0
Audio Caption in a Car Setting with a Sentence-Level LossCode0
An Attempt towards Interpretable Audio-Visual Video Captioning0
Automated Audio Captioning with Recurrent Neural Networks0
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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