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

Gert Dekkers; Peter Karsmakers


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Steven Lauwereins</dc:contributor>
  <dc:contributor>Bart Thoen</dc:contributor>
  <dc:contributor>Mulu Weldegebreal Adhana</dc:contributor>
  <dc:contributor>Henk Brouckxon</dc:contributor>
  <dc:contributor>Bertold Van den Bergh</dc:contributor>
  <dc:contributor>Toon van Waterschoot</dc:contributor>
  <dc:contributor>Bart Vanrumste</dc:contributor>
  <dc:creator>Gert Dekkers</dc:creator>
  <dc:creator>Peter Karsmakers</dc:creator>
  <dc:date>2018-05-14</dc:date>
  <dc:description>This repository contains the development data of task 5 of the DCASE 2018 challenge. 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 development dataset' consists of data collected by 4 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 along with the ground truth. In total 72984 segments are made available, leading to approximately 200 hours of data.

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-dev.doc.zip'. 

By accessing or using this database, the user accepts the provided EULA (available in DCASE2018-task5-dev.doc.zip).</dc:description>
  <dc:identifier>https://zenodo.org/record/1247000</dc:identifier>
  <dc:identifier>10.5281/zenodo.1247000</dc:identifier>
  <dc:identifier>oai:zenodo.org:1247000</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.1195854</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/legalcode</dc:rights>
  <dc:subject>DCASE</dc:subject>
  <dc:subject>activity of the daily living</dc:subject>
  <dc:subject>home environment</dc:subject>
  <dc:subject>audio</dc:subject>
  <dc:subject>multi-channel</dc:subject>
  <dc:subject>machine learning</dc:subject>
  <dc:title>DCASE 2018, Task 5: Monitoring of domestic activities based on multi-channel acoustics - Development dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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