Actions
  • shareshare
  • link
  • cite
  • add
add
auto_awesome_motion View all 2 versions
Research data . Dataset . 2018

TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas;
Open Access  
Published: 10 May 2018
Publisher: Zenodo
Abstract
TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard 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
Subjects

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
Download fromView all 2 sources
lock_open
ZENODO
Dataset . 2018
Providers: ZENODO