<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

TUT Sound events 2016, Development dataset

Name: TUT Sound events 2016, Development dataset
Keywords: sound event detection, computational auditory scene analysis, audio

Research datakeyboard_double_arrow_right Dataset 08 Feb 2016Publisher:ZenodoFunded by:EC | EVERYSOUND

Authors: Mesaros, Annamaria; Heittola, Toni; Virtanen, Tuomas;

doi: 10.5281/zenodo.45759

TUT Sound events 2016, Development dataset

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

TUT Sound events 2016, development dataset consists of 22 audio recordings from two acoustic scenes: Home (indoor), 10 recordings, totaling 36:16 Residential area (outdoor), 12 recordings, totalling 42:00

Related Organizations

Tampere University
Finland

Keywords

sound event detection, computational auditory scene analysis, audio

1 Research products, page 1 of 1

Urban Acoustic Scenes Research
2016IsPartOf

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average