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In this paper, we propose a domain adaptation framework to address the device mismatch issue in acoustic scene classification leveraging upon neural label embedding (NLE) and relational teacher student learning (RTSL).
P. J. Huber, “Robust estimation of a location parameter,”
1964
Earlier work this paper cites.
G. E. Hinton and S. T. Roweis, “Stochastic neighbor embedding,” in
2003
Earlier work this paper cites.
L. van der Maaten and G. E. Hinton, “Visualizing data using t- sne,” in
2008
Earlier work this paper cites.
2012
Earlier work this paper cites.
G. Hinton, O. Vinyals, and J. Dean, “Distilling the knowledge in a neural network,” in
2015
Earlier work this paper cites.
G. Hinton, O. Vinyals, and J. Dean, “Distilling the knowledge in a neural network,”
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
D. Battaglino, L. Lepauloux, and N. Evans, “Acoustic scene classification using convolutional neural networks,” DCASE2016 Challenge, Tech. Rep., September 2016
2016
Earlier work this paper cites.
S. Mun, S. Shon, W. Kim, and H. Ko, “Deep neural network bottleneck features for acoustic event recognition.” in
2016
Earlier work this paper cites.
H. Eghbal-Zadeh, B. Lehner, M. Dorfer, and G. Widmer, “Cp-jku submissions for dcase-2016: A hybrid approach using binaural i-vectors and deep convolutional neural networks,”
2016
Earlier work this paper cites.
S. Mun, S. Shon, W. Kim, and H. Ko, “Deep neural network bottleneck features for acoustic event recognition.” in
2016
Earlier work this paper cites.
A. Mesaros, T. Heittola, A. Diment, B. Elizalde, A. Shah, E. Vincent, B. Raj, and T. Virtanen, “DCASE 2017 challenge setup: Tasks, datasets and baseline system,” in
2017
Earlier work this paper cites.
S. Mun, S. Park, D. K. Han, and H. Ko, “Generative adversarial network based acoustic scene training set augmentation and selection using svm hyper-plane,”
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
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,”
2018
Cited alongside, same era.
A. Mesaros, T. Heittola, and T. Virtanen, “A multi-device dataset for urban acoustic scene classification,” in
2018
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,”
2018
Cited alongside, same era.
J. Wang and S. Li, “Self-attention mechanism based system for dcase2018 challenge task1 and task4,” in
2018
Cited alongside, same era.
Z. Ren, Q. Kong, K. Qian, M. D. Plumbley, B. Schuller
2018
Cited alongside, same era.
2019
Later among the works it cites.
M. Kośmider, “Calibrating neural networks for secondary recording devices,” DCASE2019 Challenge, Tech. Rep., June 2019
2019
Later among the works it cites.
S. Mun and S. Shon, “Domain mismatch robust acoustic scene classification using channel information conversion,” in
2019
Later among the works it cites.
2019
Later among the works it cites.
K. Drossos, P. Magron, and T. Virtanen, “Unsupervised adversarial domain adaptation based on the wasserstein distance for acoustic scene classification,” in
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K. Xu, D. Feng, H. Mi, B. Zhu, D. Wang, L. Zhang, H. Cai, and S. Liu, “Mixup-based acoustic scene classification using multi-channel convolutional neural network,” in
2018
Cited alongside, same era.
2018
Cited alongside, same era.
P. Sharma, V. Abrol, and A. Thakur, “Ase: Acoustic scene embedding using deep archetypal analysis and gmm.” in
2018
Cited alongside, same era.
2018
Cited alongside, same era.
H. Hu, T. Tan, and Y. Qian, “Generative adversarial networks based data augmentation for noise robust speech recognition,” in
2018
Cited alongside, same era.
2019
Cited alongside, same era.
T. Nguyen and F. Pernkopf, “Acoustic scene classification with mismatched devices using cliquenets and mixup data augmentation,” in
2019
Cited alongside, same era.
2019
Later among the works it cites.
2019
Later among the works it cites.
Z. Meng, J. Li, Y. Zhao, and Y. Gong, “Conditional teacher-student learning,” in
2019
Later among the works it cites.
W. Park, D. Kim, Y. Lu, and M. Cho, “Relational knowledge distillation,” in
2019
Later among the works it cites.
W. Li, S. Wang, M. Lei, S. M. Siniscalchi, and C.-H. Lee, “Improving audio-visual speech recognition performance with cross-modal student-teacher training,” in
2019
Later among the works it cites.
H. Hu, C.-H. H. Yang, X. Xia, X. Bai, X. Tang, Y. Wang, S. Niu, L. Chai, J. Li, H. Zhu, F. Bao, Y. Zhao, S. M. Siniscalchi, Y. Wang, J. Du, and C.-H. Lee, “Device-robust acoustic scene classification based on two-stage categorization and data augmentation,” DCASE2020 Challenge, Tech. Rep., June 2020
2020
Closest in time.
H. Hu, S. M. Siniscalchi, Y. Wang, X. Bai, J. Du, and C.-H. Lee, “An acoustic segment model based segment unit selection approach to acoustic scene classification with partial utterances,” in
2020
Closest in time.
X. Bai, J. Du, J. Pan, Z. Heng-shun, Y.-H. Tu, and C.-H. Lee, “High-resolution attention network with acoustic segment model for acoustic scene classification,” in
2020
Closest in time.
Z. Meng, H. Hu, J. Li, C. Liu, Y. Huang, Y. Gong, and C.-H. Lee, “L-vector: Neural label embedding for domain adaptation,” in
2020
Closest in time.