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.