DESED_synthetic

Link to the associated github repository: https://github.com/turpaultn/Desed

Link to the paper: https://hal.inria.fr/hal-02160855.

Part of the repo github: https://github.com/turpaultn/DESED

Domestic Environment Sound Event Detection (DESED).

Description
This dataset is the synthetic part of the DESED dataset. It allows creating mixtures of isolated sounds and backgrounds.

There is the material to:

• Reproduce the DCASE 2019 task 4 synthetic dataset
• Creating new mixtures from isolated foreground sounds and background sounds.

The mixtures are generated using Scaper (https://github.com/justinsalamon/scaper) [1].

The evaluation part was submitted to ICASSP and will be updated later.

* 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.
* Foreground files are extracted from Freesound [4][5] and manually verified to check the quality and segmented to remove silences.

## References
[1] J. Salamon, D. MacConnell, M. Cartwright, P. Li, and J. P. Bello. Scaper: A library for soundscape synthesis and augmentation
In 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.
The SINS database for detection of daily activities in a home environment using an acoustic sensor network.
In 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.
MUSAN: A Music, Speech, and Noise Corpus.
arXiv, 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.
 
[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.
In Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China, 2017.