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This paper presents DCASE 2018 task 4. The task evaluates systems for thelarge-scale detection of sound events using weakly labeled data (without timeboundaries). The target of the systems is to provide not only the event classbut also the event time boundaries given that multiple events can be present inan audio recording. Another challenge of the task is to explore the possibilityto exploit a large amount of unbalanced and unlabeled training data togetherwith a small weakly labeled training set to improve system performance. Thedata are Youtube video excerpts from domestic context which have manyapplications such as ambient assisted living. The domain was chosen due to thescientific challenges (wide variety of sounds, time-localized events.. .) andpotential industrial applications .

Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments