Dataset Open Access
Theodoros Giannakopoulos; Stasinos Konstantopoulos
{ "description": "<p>The high level activities are:<br>\n\u00a0- kitchencleanup<br>\n\u00a0- music<br>\n\u00a0- no activity<br>\n\u00a0- other activity<br>\n\u00a0- talk<br>\n\u00a0- tv</p>\n\n<p>Each recording of low-level audio events is stored in a separate file.</p>\n\n<p>Files are organized in 6 folders, each folder corresponding to a separate file.</p>\n\n<p>The format of is file is json-like. In particular, each row has the following format:</p>\n\n<p>{\"prob\": 0.88557562121157585, \"energy\": 0.024511212402412885, \"t\": 1485110417, \"event\": \"speech\"}</p>\n\n<p>This dataset can be evaluated with the python code metaClassifier/evaluate.py of the AUOR repository:<br>\nhttps://github.com/tyiannak/AUROS</p>", "license": "http://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "NCSR Demokritos", "@type": "Person", "name": "Theodoros Giannakopoulos" }, { "affiliation": "NCSR Demokritos", "@type": "Person", "name": "Stasinos Konstantopoulos" } ], "url": "https://zenodo.org/record/376480", "datePublished": "2017-03-10", "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/76670823-0e45-408b-8463-47b9b984e151/high_level_events.zip", "@type": "DataDownload", "fileFormat": "zip" } ], "identifier": "https://doi.org/10.5281/zenodo.376480", "@id": "https://doi.org/10.5281/zenodo.376480", "@type": "Dataset", "name": "A dataset for high-level activity recognition based on low level audio events" }
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