Large-scale weakly labeled semi-supervised sound event detection in domestic environments

Autoren Romain Serizel
Nicolas Turpault
Hamid Eghbal-zadeh
Ankit Parag Shah
Editoren M. D. Plumbley
C. Kroos
J. P. Bello
G. Richard
D.P.W. Ellis
A. Mesaros
Titel Large-scale weakly labeled semi-supervised sound event detection in domestic environments
Buchtitel Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018)
Typ in Konferenzband
Verlag Tampere University
ISBN 978-952-15-4262-6
Monat November
Jahr 2018
Seiten 29-23
SCCH ID# 18097
Abstract

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