Dataset Open Access
TAU Urban Acoustic Scenes 2019 Openset, Evaluation dataset
Heittola, Toni;
Mesaros, Annamaria;
Virtanen, Tuomas
Contact person(s)
Heittola, Toni
Data collector(s)
Laakso, Henri; Bejarano Rodriguez, RonalTAU Urban Acoustic Scenes 2019 Openset 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
In addition, material for Unknown scene unknown is provided.
The dataset contains in total 20 hours of audio.
Files
(8.2 GB)
| Name | Size | |
|---|---|---|
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.audio.1.zip
md5:fce651cba35d38d9d42e8656d0eb1e92 |
1.7 GB | Download |
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.audio.2.zip
md5:65e17fbbb7071c260937639e0e3a6dca |
1.7 GB | Download |
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.audio.3.zip
md5:a198d2c62a54bd4b19514e35b6cd0126 |
1.7 GB | Download |
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.audio.4.zip
md5:9e6d628bbd063fc46c12325837641732 |
1.7 GB | Download |
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.audio.5.zip
md5:c66f44d78b5435cc5d27cb7c00349c09 |
1.3 GB | Download |
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.doc.zip
md5:01439c436b91ba20e8b1bf29e1629a67 |
7.9 kB | Download |
|
TAU-urban-acoustic-scenes-2019-openset-evaluation.meta.zip
md5:e4b6f2e48b8ff7e67803109d0e24c4c3 |
17.6 kB | Download |
400
3,717
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 400 | 399 |
| Downloads | 3,717 | 3,717 |
| Data volume | 5.7 TB | 5.7 TB |
| Unique views | 320 | 319 |
| Unique downloads | 384 | 384 |
Indexed in
- Publication date:
- May 20, 2019
- 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)