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This paper presents the details of Task 1: Acoustic Scene Classification in the DCASE 2020 Challenge.
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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,”
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S. Suh, S. Park, Y. Jeong, and T. Lee, “Designing acoustic scene classification models with CNN variants,” DCASE2020 Challenge, Tech. Rep., June 2020
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Y. Liu, S. Jiang, C. Shi, and H. Li, “Acoustic scene classification using ensembles of deep residual networks and spectrogram decompositions,” DCASE2020 Challenge, Tech. Rep., June 2020
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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
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T. Heittola, A. Mesaros, and T. Virtanen, “TAU Urban Acoustic Scenes 2020 Mobile, Development dataset,” Feb. 2020. [Online]. Available:
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T. Heittola, A. Mesaros, and T. Virtanen, “TAU Urban Acoustic Scenes 2020 3Class, Development dataset,” Feb. 2020. [Online]. Available:
2020
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K. Koutini, F. Henkel, H. Eghbal-zadeh, and G. Widmer, “CP-JKU submissions to DCASE’20: Low-complexity cross-device acoustic scene classification with rf-regularized CNNs,” DCASE2020 Challenge, Tech. Rep., June 2020
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S. Chang, J. Cho, H. Park, H. Park, S. Yun, and K. Hwang, “Qti submission to DCASE 2020: Model efficient acoustic scene,” DCASE2020 Challenge, Tech. Rep., June 2020
2020
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M. McDonnell, “Low-complexity acoustic scene classification using one-bit-per-weight deep convolutional neural networks,” DCASE2020 Challenge, Tech. Rep., June 2020
2020
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