Dataset Open Access
TUT Urban Acoustic Scenes 2018, Evaluation dataset
Heittola, Toni;
Mesaros, Annamaria;
Virtanen, Tuomas
Contact person(s)
Heittola, Toni
Data collector(s)
Bejarano Rodriguez, Ronal; Fagerlund, Eemi; Koskimies, AinoTUT Urban Acoustic Scenes 2018 evaluation 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
The dataset contains in total 10 hours of audio.
Files
(8.9 GB)
| Name | Size | |
|---|---|---|
|
TUT-urban-acoustic-scenes-2018-evaluation.audio.1.zip
md5:4fd51d1365df3d13735b86a51ff8840b |
1.7 GB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.audio.2.zip
md5:f6916f68a16b25f128badff441f80d8a |
1.7 GB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.audio.3.zip
md5:05a6f5d1259a4da49cda32f534c71cc6 |
1.7 GB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.audio.4.zip
md5:fcdceb6a022d698064e5537edbbd6664 |
1.7 GB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.audio.5.zip
md5:ff94b9abc4f01bf2dd9a2aca79d8590d |
1.7 GB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.audio.6.zip
md5:3dd86135fb4df726f6036ffafe0dff88 |
320.9 MB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.doc.zip
md5:05edd37e0da5f301e86b1dbd2ccae191 |
7.7 kB | Download |
|
TUT-urban-acoustic-scenes-2018-evaluation.meta.zip
md5:b519d0b2addcb5e8569ec0c44df14e3e |
8.8 kB | Download |
1,593
20,159
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 1,593 | 1,594 |
| Downloads | 20,159 | 20,161 |
| Data volume | 30.4 TB | 30.4 TB |
| Unique views | 1,425 | 1,426 |
| Unique downloads | 1,989 | 1,991 |
Indexed in
- Publication date:
- June 29, 2018
- DOI:
-
- Keyword(s):
- computational auditory scene analysis acoustic scene classification audio
- Grants:
-
European Commission:
- EVERYSOUND - Computational Analysis of Everyday Soundscapes (637422)
- Communities:
- License (for files):
- Other (Non-Commercial)