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We study the merit of transfer learning for two sound recognition problems, i.e., audio tagging and sound event detection.
W. Boes and H. Van hamme, “Audiovisual transformer architectures for large-scale classification and synchronization of weakly labeled audio events,” in Proceedings of the 27th ACM International Conference on Multimedia , 2019, pp. 1961–1969
1969
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “ImageNet: A Large-Scale Hierarchical Image Database,” in CVPR09 , 2009
2009
Earlier work this paper cites.
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting,” The Journal of Machine Learning Research , vol. 15, no. 1, pp. 1929–1958, 2014
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
S. Ioffe and C. Szegedy, “Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift,” in Proceedings of ICML , 2015, pp. 448–456
2015
Earlier work this paper cites.
K. Simonyan and A. Zisserman, “Very Deep Convolutional Networks for Large-Scale Image Recognition,” in International Conference on Learning Representations , 2015
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
A. Mesaros, T. Heittola, and T. Virtanen, “Metrics for Polyphonic Sound Event Detection,” Applied Sciences , vol. 6, no. 6, p. 162, 2016
2016
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) , 2017, pp. 776–780
2017
Earlier work this paper cites.
T. Virtanen, A. Mesaros, T. Heittola, A. Diment, E. Vincent, E. Benetos, and B. M. Elizalde, Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017) , 2017
2017
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention Is All You Need,” in Advances in Neural Information Processing Systems , 2017, pp. 5998–6008
2017
Cited alongside, same era.
A. Tarvainen and H. Valpola, “Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results,” in Advances in Neural Information Processing Systems , 2017, pp. 1195–1204
2017
Cited alongside, same era.
2017
Cited alongside, same era.
S. Parekh, S. Essid, A. Ozerov, N. Q. Duong, P. Pérez, and G. Richard, “Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2018, pp. 2518–2519
2018
Later among the works it cites.
M. Mandel, J. Salamon, and D. P. Ellis, Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019) , 2019
2019
Later among the works it cites.
L. Delphin-Poulat and C. Plapous, “Mean teacher with data augmentation for dcase 2019 task 4,” Orange Labs Lannion, Tech. Rep., 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
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S. Hershey, S. Chaudhuri, D. P. Ellis, J. F. Gemmeke, A. Jansen, R. C. Moore, M. Plakal, D. Platt, R. A. Saurous, B. Seybold et al. , “CNN Architectures for Large-Scale Audio Classification,” in 2017 IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP) , 2017, pp. 131–135
2017
Cited alongside, same era.
A. Mesaros, T. Heittola, E. Benetos, P. Foster, M. Lagrange, T. Virtanen, and M. D. Plumbley, “Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge,” IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) , vol. 26, no. 2, pp. 379–393, 2018
2018
Cited alongside, same era.
M. D. Plumbley, C. Kroos, J. P. Bello, G. Richard, D. P. Ellis, and A. Mesaros, Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018) , 2018
2018
Cited alongside, same era.
Y. Xu, Q. Kong, W. Wang, and M. D. Plumbley, “Large-scale weakly supervised audio classification using gated convolutional neural network,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2018, pp. 121–125
2018
Cited alongside, same era.
L. JiaKai, “Mean teacher convolution system for dcase 2018 task 4,” PFU SHANGHAI Co., LTD, Tech. Rep., 2018
2018
Cited alongside, same era.
Y. Wang, J. Li, and F. Metze, “A comparison of five multiple instance learning pooling functions for sound event detection with weak labeling,” in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2019, pp. 31–35
2019
Later among the works it cites.
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. Kopf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, and S. Chintala, “PyTorch: An Imperative Style, High-Performance Deep Learning Library,” in Advances in Neural Information Processing Systems , 2019, pp. 8024–8035
2019
Later among the works it cites.
N. Ono, N. Harada, Y. Kawaguchi, A. Mesaros, K. Imoto, Y. Koizumi, and T. Komatsu, Proceedings of the 5th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2020) , 2020
2020
Later among the works it cites.
K. Miyazaki, T. Komatsu, T. Hayashi, S. Watanabe, T. Toda, and K. Takeda, “Convolution-augmented transformer for semi-supervised sound event detection,” Nagoya University, LINE Corporation, Human Dataware Lab. Co., Ltd. and Johns Hopkins University, Tech. Rep., 2020
2020
Later among the works it cites.