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Conference Papers Year : 2017

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.
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Dates and versions

hal-01627981 , version 1 (02-11-2017)

Identifiers

  • HAL Id : hal-01627981 , version 1

Cite

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⟩
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