Journal article Open Access

DCASE 2018, Task 5: Monitoring of domestic activities based on multi-channel acoustics - Evaluation dataset

Gert Dekkers; Peter Karsmakers

Other(s)
Steven Lauwereins; Bart Thoen; Mulu Weldegebreal Adhana; Henk Brouckxon; Bertold Van den Bergh; Toon van Waterschoot; Bart Vanrumste

The dataset is a derivative of the SINS dataset and is meant to be used as an evaluation set for the DCASE2018 Task 5 challenge. The development set to be used can be found here. The dataset is a derivative of the SINS database.

The SINS database contains a continuous recording of one person living in a vacation home over a period of one week. The recordings were manually annotated on daily activity level: "Cooking", "Dishwashing", "Eating", "Social activity (visit, phone call)", "Vacuum cleaning", "Watching TV", "Working", "Presence" and "Absence". More information can be found on (please cite this paper when using the dataset):

Dekkers G., Lauwereins S., Thoen B., Adhana M., Brouckxon H., Van den Bergh B., van Waterschoot T., Vanrumste B., Verhelst M., Karsmakers P. (2017). The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network. Detection and Classification of Acoustic Scenes and Events 2017 (accepted). DCASE Workshop. München, Germany, 16-17 November 2017.

The derivative of the SINS database, 'DCASE 2018 – Task 5 evaluation dataset' consists of data collected by 7 microphone arrays in the combined living room and kitchen area. The continuous recordings were split into audio segments of 10s. These audio segments are provided as individual files. In total 72972 segments are made available, leading to approximately 200 hours of data. Ground truth will be made available after the challenge results have been made public. Additionally, a filename mapping will be made available that will map the filenames to a filename similar as the development dataset.

More information about the challenge and the specific dataset can be found here. Information solely related to the content of the dataset is available in 'DCASE2018-task5-eval.doc.zip'.

By accessing or using this database, the user accepts the provided EULA (available in DCASE2018-task5-eval.doc.zip).

Files (45.4 GB)
Name Size
DCASE2018-task5-eval.audio.1.zip
md5:0df319839c6ca49e1183a6bdda878105
2.0 GB Download
DCASE2018-task5-eval.audio.10.zip
md5:0c619203edc5054c397a53680c401206
2.0 GB Download
DCASE2018-task5-eval.audio.11.zip
md5:5e30ccf28f3b314eceb852926530d183
2.0 GB Download
DCASE2018-task5-eval.audio.12.zip
md5:b12c244e646f70b9318feaba1b62bf18
2.0 GB Download
DCASE2018-task5-eval.audio.13.zip
md5:7f04c5471e102a261671122173bb3faa
2.0 GB Download
DCASE2018-task5-eval.audio.14.zip
md5:4e1d4800d106e1167d5a746f8581fbee
2.0 GB Download
DCASE2018-task5-eval.audio.15.zip
md5:810e1bf859931063c4dce8eb3d80de18
2.0 GB Download
DCASE2018-task5-eval.audio.16.zip
md5:2d858a337a090bf64b69ed6c8a1ffa41
2.0 GB Download
DCASE2018-task5-eval.audio.17.zip
md5:e0541f41cf615951c94fba9aef302eac
2.0 GB Download
DCASE2018-task5-eval.audio.18.zip
md5:418348dd851a320bc003f7c11ca7d17f
2.0 GB Download
DCASE2018-task5-eval.audio.19.zip
md5:b9ef08ba8a09f4ca056d3a3545a1a00b
2.0 GB Download
DCASE2018-task5-eval.audio.2.zip
md5:c4128c29b2ec7ca3a0a640160cea45e9
2.0 GB Download
DCASE2018-task5-eval.audio.20.zip
md5:6c75d2bdb778fc54f1a902300a56e969
2.0 GB Download
DCASE2018-task5-eval.audio.21.zip
md5:ccc5de1cac56a1f3835772aa5fd7613d
2.0 GB Download
DCASE2018-task5-eval.audio.22.zip
md5:ece9169ada4f46cf4e7969dc6cdcc52c
2.0 GB Download
DCASE2018-task5-eval.audio.23.zip
md5:9fda3aa8df12b57a57b0142fd5642a44
1.4 GB Download
DCASE2018-task5-eval.audio.3.zip
md5:367add49b9dad7e4823d12ff17f248ac
2.0 GB Download
DCASE2018-task5-eval.audio.4.zip
md5:aa2a74ff766bba3c45775e73f686bf9c
2.0 GB Download
DCASE2018-task5-eval.audio.5.zip
md5:845637aa439da622ef5529b1f081c235
2.0 GB Download
DCASE2018-task5-eval.audio.6.zip
md5:23dc7375c17f504f602bd293891a0812
2.0 GB Download
DCASE2018-task5-eval.audio.7.zip
md5:391845ae00c20f94d8c2e03d5016cff5
2.0 GB Download
DCASE2018-task5-eval.audio.8.zip
md5:98c9421e99c241e1d96baaffaa7f9848
2.0 GB Download
DCASE2018-task5-eval.audio.9.zip
md5:ffc5be57c89ca1a8480b2124ab650126
2.0 GB Download
DCASE2018-task5-eval.doc.zip
md5:46bb9533c4ac74f65a959fa4c963d25f
60.8 kB Download
DCASE2018-task5-eval.meta.zip
md5:5256ade2443e80dc11ae8e816edaf664
327.2 kB Download
  • Dekkers G., Lauwereins S., Thoen B., Adhana M., Brouckxon H., Van den Bergh B., van Waterschoot T., Vanrumste B., Verhelst M., Karsmakers P. (2017). The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network. Detection and Classification of Acoustic Scenes and Events 2017 (accepted). DCASE Workshop. München, Germany, 16-17 November 2017.
32
89
views
downloads
All versions This version
Views 3232
Downloads 8989
Data volume 162.1 GB162.1 GB
Unique views 3232
Unique downloads 2020

Share

Cite as