DCASE 2017 challenge setup: tasks, datasets and baseline system

Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Martinez Elizalde, Ankit Shah, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    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.
    Original languageEnglish
    Title of host publicationProceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017)
    Pages85-92
    ISBN (Electronic)978-952-15-4042-4
    Publication statusPublished - 2017
    Publication typeA4 Article in a conference publication
    EventDetection and Classification of Acoustic Scenes and Events Workshop -
    Duration: 1 Jan 2000 → …

    Conference

    ConferenceDetection and Classification of Acoustic Scenes and Events Workshop
    Period1/01/00 → …

    Keywords

    • Sound scene analysis
    • Acoustic scene classification
    • Sound event detection
    • Audio tagging
    • Rare sound events

    Publication forum classification

    • No publication forum level

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