DCASE 2017 challenge setup: Tasks, datasets and baseline system
Published in Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), 2017
DCASE 2017 Challenge consists of four tasks: acoustic scene classification, detection of rare sound events, sound event detection in real-life audio, and large-scale weakly supervised sound event detection for smart cars. This paper presents the setup of these tasks: task definition, dataset, experimental setup, and baseline system results on the development dataset. The baseline systems for all tasks rely on the same implementation using multilayer perceptron and log mel-energies, but differ in the structure of the output layer and the decision making process, as well as the evaluation of system output using task specific metrics.
Recommended citation: @inproceedings{mesaros2017dcase, title={DCASE 2017 challenge setup: Tasks, datasets and baseline system}, author={Mesaros, Annamaria and Heittola, Toni and Diment, Aleksandr and Elizalde, Benjamin and Shah, Ankit and Vincent, Emmanuel and Raj, Bhiksha and Virtanen, Tuomas}, booktitle={DCASE 2017-Workshop on Detection and Classification of Acoustic Scenes and Events}, year={2017} }
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