Dataset Open Access

A dataset for high-level activity recognition based on low level audio events

Theodoros Giannakopoulos; Stasinos Konstantopoulos


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<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:creator>Theodoros Giannakopoulos</dc:creator>
  <dc:creator>Stasinos Konstantopoulos</dc:creator>
  <dc:date>2017-03-10</dc:date>
  <dc:description>The high level activities are:
 - kitchencleanup
 - music
 - no activity
 - other activity
 - talk
 - tv

Each recording of low-level audio events is stored in a separate file.

Files are organized in 6 folders, each folder corresponding to a separate file.

The format of is file is json-like. In particular, each row has the following format:

{"prob": 0.88557562121157585, "energy": 0.024511212402412885, "t": 1485110417, "event": "speech"}

This dataset can be evaluated with the python code metaClassifier/evaluate.py of the AUOR repository:
https://github.com/tyiannak/AUROS</dc:description>
  <dc:identifier>https://zenodo.org/record/376480</dc:identifier>
  <dc:identifier>10.5281/zenodo.376480</dc:identifier>
  <dc:identifier>oai:zenodo.org:376480</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/643892/</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/radio</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>A dataset for high-level activity recognition based on low level audio events</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
47
2
views
downloads
All versions This version
Views 4747
Downloads 22
Data volume 314.8 kB314.8 kB
Unique views 4747
Unique downloads 22

Share

Cite as