Published May 10, 2018 | Version v1
Dataset Open

TUT Urban Acoustic Scenes 2018, Leaderboard dataset

  • 1. Tampere University of Technology
  • 1. Tampere University of Technology

Description

TUT Urban Acoustic Scenes 2018, 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

Files

TUT-urban-acoustic-scenes-2018-leaderboard.audio.1.zip

Additional details

Funding

EVERYSOUND – Computational Analysis of Everyday Soundscapes 637422
European Commission