Skip to Main content Skip to Navigation
New interface
Conference papers

DCASE 2017 Challenge setup: Tasks, datasets and baseline system

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download
Contributor : Emmanuel Vincent Connect in order to contact the contributor
Submitted on : Thursday, November 2, 2017 - 4:45:25 PM
Last modification on : Saturday, November 19, 2022 - 3:58:57 AM
Long-term archiving on: : Saturday, February 3, 2018 - 1:51:58 PM


Files produced by the author(s)


  • HAL Id : hal-01627981, version 1


Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit Shah, et al.. DCASE 2017 Challenge setup: Tasks, datasets and baseline system. DCASE 2017 - Workshop on Detection and Classification of Acoustic Scenes and Events, Nov 2017, Munich, Germany. ⟨hal-01627981⟩



Record views


Files downloads