research data . Dataset . 2016

TUT Acoustic scenes 2016, Evaluation dataset

Mesaros, Annamaria; Heittola, Toni; Virtanen, Tuomas;
Open Access
  • Published: 10 Nov 2016
  • Publisher: Zenodo
Abstract
<p>TUT Acoustic Scenes 2016, evaluation dataset consists of 30-seconds audio segments from 15 acoustic scenes:</p> <ul> <li>Bus - traveling by bus in the city (vehicle)</li> <li>Cafe / Restaurant - small cafe/restaurant (indoor)</li> <li>Car - driving or traveling as a passenger, in the city (vehicle)</li> <li>City center (outdoor)</li> <li>Forest path (outdoor)</li> <li>Grocery store - medium size grocery store (indoor)</li> <li>Home (indoor)</li> <li>Lakeside beach (outdoor)</li> <li>Library (indoor)</li> <li>Metro station (indoor)</li> <li>Office - multiple persons, typical work day (indoor)</li> <li>Residential area (outdoor)</li> <li>Train (traveling, vehic...
Persistent Identifiers
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
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 . 2016
Provider: Zenodo
Zenodo
Dataset . 2016
Provider: Datacite
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