Datasets › DCASE 2019 Mobile
DCASE 2019 Mobile (TAU Urban Acoustic Scenes 2019 Mobile)
TAU Urban Acoustic Scenes 2019 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes:
Airport
Indoor shopping mall
Metro station
Pedestrian street
Public square
Street with medium level of traffic
Travelling by a tram
Travelling by a bus
Travelling by an underground metro
Urban park
Recordings were made with three devices that captured audio simultaneously. Each acoustic scene has 1440 segments (240 minutes of audio) recorded with device A (main device) and 108 segments of parallel audio (18 minutes) each recorded with devices B and C. The dataset contains in total 46 hours of audio.
Source: Zenodo Image Source: Acoustic Scene Classification
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Acoustic Scene Classification | DCASE 2019 Mobile | Basic + Spectrum Correction Accuracy 70.4 | Spectrum Correction: Acoustic Scene Classification with... | SRPOL-AUI/spectrum-correction | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices | 1 | 1 | 25 May 2021 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DCASE 2019 Mobile
1 variant name, as the archive lists them.
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