
<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>
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Each acoustic scene has 864 segments (144 minutes of audio). The dataset contains in total 24 hours of audio.
computational auditory scene analysis, audio, acoustic scene classification
computational auditory scene analysis, audio, acoustic scene classification
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). | 6 | |
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. | Average | |
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. | Top 10% |
views | 424 | |
downloads | 889 |