Link to the associated github repository: https://github.com/turpaultn/Desed
\n\nLink to the papers: https://hal.inria.fr/hal-02160855, https://hal.inria.fr/hal-02355573v1
\n\nDomestic Environment Sound Event Detection (DESED).
\n\nDescription
\nThis dataset is the synthetic part of the DESED dataset. It allows creating mixtures of isolated sounds and backgrounds.
There is the material to:
\n\nFiles:
\n\nIf you want to generate new audio mixtures yourself from the original files.
\n\nIf you simply want the evaluation synthetic dataset used in DCASE 2019 task 4.
\n\n\n\n
The mixtures are generated using Scaper (https://github.com/justinsalamon/scaper) [1].
\n\n* Background files are extracted from SINS [2], MUSAN [3] or Youtube and have been selected because they contain a very low amount of our sound event classes.
\n* Foreground files are extracted from Freesound [4][5] and manually verified to check the quality and segmented to remove silences.
References
\n[1] J. Salamon, D. MacConnell, M. Cartwright, P. Li, and J. P. Bello. Scaper: A library for soundscape synthesis and augmentation
\nIn IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, Oct. 2017.
[2] Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers.
\nThe SINS database for detection of daily activities in a home environment using an acoustic sensor network.
\nIn Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), 32–36. November 2017.
[3] David Snyder and Guoguo Chen and Daniel Povey.
\nMUSAN: A Music, Speech, and Noise Corpus.
\narXiv, 1510.08484, 2015.
[4] F. Font, G. Roma & X. Serra. Freesound technical demo. In Proceedings of the 21st ACM international conference on Multimedia. ACM, 2013.
\n
\n[5] E. Fonseca, J. Pons, X. Favory, F. Font, D. Bogdanov, A. Ferraro, S. Oramas, A. Porter & X. Serra. Freesound Datasets: A Platform for the Creation of Open Audio Datasets.
\nIn Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China, 2017.
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