DCASE 2024 Challenge Task 10 Evaluation Dataset: Acoustic-based Traffic Monitoring
Creators
-
1.
Robert Bosch (United States)
-
2.
KU Leuven
-
3.
Robert Bosch (Germany)
Description
Directory structure:
locX.zip
|----- test [test flac files inside]
NOTE: We split zip files for large size folders (i.e., loc1, loc3, loc6). Please make sure to download all splits before unzipping the data! For example, run
zip -s 0 loc6.zip --out unsplit-loc6.zip
unzip unsplit-loc6.zip
in your terminal once you have downloaded loc6.z01, loc6.z02 and loc6.zip.
Contact:
If there is any question, please contact:
- Luca Bondi: luca (dot) bondi@us (dot) bosch (dot) com
- Shabnam Ghaffarzadegan: shabnam (dot) ghaffarzadegan@us (dot) bosch (dot) com
- Wei-Cheng (Winston) Lin: wei-cheng (dot) lin@us (dot) bosch (dot) com
Acknowledgement:
This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956962 and from the European Research Council under the European Union's Horizon 2020 research and innovation program / ERC Consolidator Grant: SONORA (no. 773268). This work reflects only the authors' views and the Union is not liable for any use that may be made of the contained information.
Files
loc1.zip
Files
(29.4 GB)
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md5:06d2b692a20212f512adc54594369763
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2.1 GB | Download |
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md5:6889c9bbef4daa47ef090c32d1776385
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2.1 GB | Download |
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md5:1883fbad9415e3274821c899049ce209
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2.1 GB | Download |
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md5:9b5c7a75fd3c688425e7ebe8825dc100
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2.1 GB | Download |
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md5:1052a1461c4c6cf11faf2b1ae27842a9
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2.1 GB | Download |
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md5:10513eff7ebabd1c4b2bf14f6dcd5d91
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1.5 GB | Preview Download |
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md5:f65bf90ef6093808290159d43f133c68
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388.8 MB | Preview Download |
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md5:0ec35ad0b9dea4a3efe0f3e002700fd3
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2.1 GB | Download |
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md5:670350cbe5e75a64b670b22a70596d37
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2.1 GB | Download |
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md5:fb49bf2d715dab77c81b2b3489eb0051
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2.1 GB | Download |
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md5:b68eb1518329a7b23c873b51d8cd94fc
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2.1 GB | Download |
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md5:6b12607230303523dcef254e4983d500
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2.1 GB | Download |
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md5:f83b859544015ad1819547d6b0ee46b2
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136.8 MB | Preview Download |
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md5:68840e3b6b942b478203b5301959bc51
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68.0 MB | Preview Download |
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md5:5aa57204a6b95b59d20bf52a4ad4d268
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336.5 MB | Preview Download |
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md5:2f27150c053ce2deb2936eeb2fffa901
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2.1 GB | Download |
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md5:4d7921fdb0476b2f591fb28d7cf28bb5
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2.1 GB | Download |
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md5:5d4259c528150662e9257280c5a08fe6
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1.2 GB | Preview Download |
Additional details
Related works
- Cites
- Conference proceeding: 10.21437/Interspeech.2024-1205 (DOI)
- References
- Conference paper: arXiv:2401.09308 (arXiv)
Software
- Repository URL
- https://github.com/boschresearch/acoustic-traffic-simulation-counting
- Programming language
- Python, YAML