Fetching the paper…
Reading the bibliography…
Audio captioning aims at using natural language to describe the content of an audio clip.
K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, “BLEU: a method for automatic evaluation of machine translation,” in Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics , 2002, pp. 311–318
2002
Earlier work this paper cites.
C. Tillmann and H. Ney, “Word reordering and a dynamic programming beam search algorithm for statistical machine translation,” Computational linguistics , vol. 29, no. 1, pp. 97–133, 2003
2003
Earlier work this paper cites.
L. C. Rouge, “A package for automatic evaluation of summaries,” in Proceedings of Workshop on Text Summarization of Association for Computational Linguistics (ACL), Spain , 2004
2004
Earlier work this paper cites.
A. Lavie and A. Agarwal, “METEOR: An automatic metric for mt evaluation with high levels of correlation with human judgments,” in Proceedings of the Second Workshop on Statistical Machine Translation , 2007, pp. 228–231
2007
Earlier work this paper cites.
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft COCO: Common objects in context,” in European Conference on Computer Vision . Springer, 2014, pp. 740–755
2014
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv:1412.6980 , 2014
2014
Earlier work this paper cites.
Y. Zhu, R. Kiros, R. Zemel, R. Salakhutdinov, R. Urtasun, A. Torralba, and S. Fidler, “Aligning books and movies: Towards story-like visual explanations by watching movies and reading books,” in Proceedings of the IEEE International Conference on Computer Vision , 2015, pp. 19–27
2015
Earlier work this paper cites.
R. Vedantam, C. Lawrence Zitnick, and D. Parikh, “CIDEr: Consensus-based image description evaluation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 4566–4575
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
P. Anderson, B. Fernando, M. Johnson, and S. Gould, “SPICE: Semantic propositional image caption evaluation,” in European Conference on Computer Vision . Springer, 2016, pp. 382–398
2016
Earlier work this paper cites.
K. Drossos, S. Adavanne, and T. Virtanen, “Automated audio captioning with recurrent neural networks,” in 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) , pp. 374–378
2017
Earlier work this paper cites.
J. F. Gemmeke, D. P. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, “Audio Set: An ontology and human-labeled dataset for audio events,” in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 776–780
2017
Earlier work this paper cites.
2017
Cited alongside, same era.
S. Liu, Z. Zhu, N. Ye, S. Guadarrama, and K. Murphy, “Improved image captioning via policy gradient optimization of SPIDEr,” in Proceedings of the IEEE International Conference on Computer Vision , 2017, pp. 873–881
2017
Cited alongside, same era.
P. Sharma, N. Ding, S. Goodman, and R. Soricut, “Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning,” in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , 2018, pp. 2556–2565
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Q. Kong, Y. Cao, T. Iqbal, Y. Wang, W. Wang, and M. D. Plumbley, “PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 28, pp. 2880–2894, 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
S. Rothe, S. Narayan, and A. Severyn, “Leveraging pre-trained checkpoints for sequence generation tasks,” Transactions of the Association for Computational Linguistics , vol. 8, pp. 264–280, 2020
2020
Later among the works it cites.
X. Mei, X. Liu, Q. Huang, M. D. Plumbley, and W. Wang, “Audio captioning Transformer,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events Workshop , 2021
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
C. D. Kim, B. Kim, H. Lee, and G. Kim, “Audiocaps: Generating captions for audios in the wild,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) , 2019, pp. 119–132
2019
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever et al. , “Language models are unsupervised multitask learners,” OpenAI blog , vol. 1, no. 8, p. 9, 2019
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2020
Cited alongside, same era.
X. Mei, Q. Huang, X. Liu, G. Chen, J. Wu, Y. Wu, J. Zhao, S. Li, T. Ko, H. L. Tang, M. D. Plumbley, and W. Wang, “An encoder-decoder based audio captioning system with transfer and reinforcement learning,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events Workshop , 2021
2021
Later among the works it cites.
X. Liu, Q. Huang, X. Mei, T. Ko, H. L. Tang, M. D. Plumbley, and W. Wang, “CL4AC: A contrastive loss for audio captioning,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events Workshop , 2021
2021
Later among the works it cites.
W. Yuan, Q. Han, D. Liu, X. Li, and Z. Yang, “The DCASE 2021 challenge task 6 system: Automated audio captioning with weakly supervised pre-traing and word selection methods,” DCASE2021 Challenge, Tech. Rep., July 2021
2021
Later among the works it cites.
X. Mei, X. Liu, J. Sun, M. D. Plumbley, and W. Wang, “Diverse audio captioning via adversarial training,” in 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021
Later among the works it cites.
X. Xu, H. Dinkel, M. Wu, Z. Xie, and K. Yu, “Investigating local and global information for automated audio captioning with transfer learning,” in 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 905–909
2021
Later among the works it cites.
X. Mei, Q. Huang, X. Liu, G. Chen, J. Wu, Y. Wu, J. Zhao, S. Li, T. Ko, H. L. Tang, X. Shao, M. D. Plumbley, and W. Wang, “An encoder-decoder based audio captioning system with transfer and reinforcement learning for DCASE Challenge 2021 Task 6,” DCASE2021 Challenge, Tech. Rep., July 2021
2021
Later among the works it cites.
F. Gontier, R. Serizel, and C. Cerisara, “Automated audio captioning by fine-tuning BART with AudioSet tags,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events Workshop , 2021
2021
Later among the works it cites.