DCASE2019 Challenge awards published

, Toni Heittola
challenge2019

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
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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
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Urban Task 5

Sainath Adapa

Urban Sound Tagging Using Convolutional Neural Networks
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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
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Urban Task 5

Daniel Tompkins and Eric Nichols

DCASE 2019 Challenge Task 5: CNN+VGGISH
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Award information