DCASE 2024 Challenge Task 10 Development Dataset: Acoustic-based Traffic Monitoring

Directory structure:

engine-sounds.zip
|----- car [car engine sounds]
|----- cv [commercial vehicles engine sounds]

locX.zip
|----- meta.json [contains meta information of traffic condition and sensor setup corresponding to the location]
|----- train [train flac files inside]
|----- train.csv
|----- val [val flac files inside]
|----- val.csv

simulation.zip
|----- locX
    |----- car
    |    |_____ left [flac files and label csv inside]
    |    |_____ right [flac files and label csv inside]
    |----- cv
         |_____ left [flac files and label csv inside]
         |_____ right [flac files and label csv 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 loc1.zip --out unsplit-loc1.zip

unzip unsplit-loc1.zip

in your terminal once you have downloaded loc1.z01, loc1.z02, loc1.z03 and loc1.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.