DCASE 2019 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	Mark D. McDonnell and Wei Gao Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths	PDF
Localization Task 3	Yin Cao, Turab Iqbal, Qiuqiang Kong, Miguel B. Galindo, Wenwu Wang, Mark D. Plumbley Two-stage sound event localization and detection using intensity vector and generalized cross-correlation	PDF
Domestic Task 4	Liwei Lin, Xiangdong Wang, Hong Liu, and YueLiang Qian Guided Learning Convolution System for DCASE 2019 Task 4	PDF
Urban Task 5	Sainath Adapa Urban Sound Tagging Using Convolutional Neural Networks	PDF

Judges’ award

Scenes Task 1	Paul Primus and David Eitelsebner Acoustic Scene Classification with Mismatched Recording Devices	PDF
Localization Task 3	Jingyang Zhang, Wenhao Ding, and Liang He Data Augmentation and Prior Knowledge-based Regularization for Sound Event Localization and Detection	PDF
Domestic Task 4	Teck KaiChan, Cheng Siong Chin, and Ye Li Non-negative Matrix Factorization-convolution Neural Network (NMF-CNN) For Sound Event Detection	PDF
Urban Task 5	Daniel Tompkins and Eric Nichols DCASE 2019 Challenge Task 5: CNN+VGGISH	PDF

Award information