research data . Dataset . 2019

TAU Urban Acoustic Scenes 2019, Development dataset

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas;
Open Access
  • Published: 11 Mar 2019
  • Publisher: Zenodo
Abstract
<p>TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 acoustic scenes:</p> <ul> <li>Airport - <em>airport</em></li> <li>Indoor shopping mall - <em>shopping_mall</em></li> <li>Metro station - <em>metro_station</em></li> <li>Pedestrian street - <em>street_pedestrian</em></li> <li>Public square - <em>public_square</em></li> <li>Street with medium level of traffic - <em>street_traffic</em></li> <li>Travelling by a tram - <em>tram</em></li> <li>Travelling by a bus - <em>bus</em></li> <li>Travelling by an underground metro - <em>metro</em></li> <li>Urban park - <em>park</em></li> </ul> <p>Each acoustic scene has 1440 segme...
Subjects
free text keywords: computational auditory scene analysis, acoustic scene classification, audio
Funded by
EC| EVERYSOUND
Project
EVERYSOUND
Computational Analysis of Everyday Soundscapes
  • Funder: European Commission (EC)
  • Project Code: 637422
  • Funding stream: H2020 | ERC | ERC-STG
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Dataset . 2019
Provider: Zenodo
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Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Datacite
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