The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network
By Gert Dekkers, Steven Lauwereins, B. Thoen, M. Adhana, H. Brouckxon, Bertold Van den Bergh, T. V. Waterschoot, Bart Vanrumste, Marian Verhelst, P. Karsmakers. 2017
122 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Scott Wisdom
- Eduardo Fonseca
- Hakan Erdogan
- John R. Hershey
- Prem Seetharaman
- Justin Salamon
- Jonathan Le Roux
- Zhong-Qiu Wang
Citations in the corpus
- Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis (2019, unknown): “The background textures are obtained from the SINS dataset (activity class “other”) [17].”
- Improving Sound Event Detection in Domestic Environments using Sound Separation (2020, methodology): “The background textures are obtained from the SINS dataset (activity class “other”) [19] and TUT scenes 2016 development dataset [20].”
- MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection (2019, background): “It is clear that the emergence of numerous open benchmark datasets [17–20] is essential for the advancement of the research field.”