DCASE 2020 Challenge will offer awards for open-source and innovative methods. These awards are meant to encourage open science and reproducibility, and therefore the Reproducible system award is directly based on these criteria. In addition, through our Judges’ award we want to encourage novel and innovative approaches.

Reproducible system award

Scenes Task 1	Hu Hu, Chao-Han (Huck) Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, and Chin-Hui Lee Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation	PDF
Monitoring Task 2	Paul Primus Reframing Unsupervised Machine Condition Monitoring as a Supervised Classification Task with Outlier-Exposed Classifiers	PDF
Localization Task 3	Yin Cao, Turab Iqbal, Qiuqiang Kong, Zhong Yue, Wenwu Wang, and Mark D. Plumbley Event-Independent Network for Polyphonic Sound Event Localization and Detection	PDF
Domestic Task 4	Janek Ebbers and Reinhold Haeb-Umbach Convolutional Recurrent Neural Networks For Weakly Labeled Semi-Supervised Sound Event Detection In Domestic Environments	PDF
Urban Task 5	Augustin Arnault and Nicolas Riche CRNNs for Urban Sound Tagging with Spatiotemporal Context	PDF
Caption Task 6	Yusong Wu, Kun Chen, Ziyue Wang, Xuan Zhang, Fudong Nian, Shengchen Li, and Xi Shao Audio Captioning Based on Transformer and Pre-Training for 2020 DCASE Audio Captioning Challenge	PDF

Judges’ award

Scenes Task 1	Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh and Gerhard Widmer CP-JKU Submissions to DCASE’20: Low-Complexity Cross-Device Acoustic Scene Classification with RF-Regularized CNNs	PDF
Monitoring Task 2	Tomoki Hayashi, Takenori Yoshimura and Yusuke Adachi Conformer-based ID-Aware Autoencoder for Unsupervised Anomalous Sound Detection	PDF
Localization Task 3	Andrés Pérez-López and Rafael Ibáñez-Usach PAPAFIL: A Low Complexity Sound Event Localization and Detection Method with Parametric Particle Filtering and Gradient Boosting	PDF
Domestic Task 4	Samuele Cornell, Giovanni Pepe, Emanuele Principi, Manuel Pariente, Michel Olvera, Leonardo Gabrielli, and Stefano Squartini The UNIVPM-INRIA Systems For The DCASE 2020 Task 4	PDF
Urban Task 5	Turab Iqbal, Yin Cao, Mark D. Plumbley and Wenwu Wang Incorporating Auxiliary Data for Urban Sound Tagging	PDF
Caption Task 6	Yuma Koizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada and Kunio Kashino The NTT DCASE2020 Challenge Task 6 System: Automated Audio Captioning With Keywords and Sentence Length Estimation	PDF

Award information