Dataset-AOB: urban sounds events classification
Creators
Contributors
Supervisor:
Description
The dataset Dataset-AOB is an audio dataset collected and manually edited for urban sounds events classification using Convolutional Neural Networks for the Master Thesis:
Ospina, A. "Audio Event Classification using Deep Learning. Use case: Urban Sounds Events classification with Convolutional Neural Networks," M.Eng. thesis, Beuth University of Applied Sciences, Berlin, 2020.
- 10 audio events: alarm-siren, children playing, dog bark, engine, footsteps, glass breaking, gun shot, metro train, rain and screams.
- duration: < 4 seconds
- format: (.wav)
- sampling rate: 22KHz - 44KHz
- files: Dataset-AOB: development dataset (4831 samples), DatasetEVAL-AOB: evaluation (218 samples)
- metadata: (.csv)
- sources per class: (.png)
Contact: aospinab@gmail.com
Files
DATASET_AOB.zip
Files
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Additional details
References
- T. Spadini. (2019). Sound Events for Surveillance Applications (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3519845
- P. Foggia, N. Petkov, A. Saggese, N. Strisciuglio, M. Vento. "Reliable Detection of Audio Events in Highly Noisy Environments." Pattern Recognition Letters, Available online 9 July 2015, ISSN 0167-8655, http://dx.doi.org/10.1016/j.patrec.2015.06.026.
- J. Salamon, C. Jacoby, J. P. Bello, "A Dataset and Taxonomy for Urban Sound Research", 22nd ACM International Conference on Multimedia, Orlando USA, Nov 2014, doi: 10.1145/2647868.2655045
- A. Diment, A. Mesaros,T. Heittola, T. Virtanen. (2017). TUT Rare sound events, Development dataset [Data set]. Zenodo. http://doi.org/10.5281/zenodo.401395
- Still North Media libraries. The firearm sound library. Accessed on: Nov. 2, 2020. [Online]. Available: https://www.stillnorthmedia.com/libraries/
- Listis: Rouen Audio scene dataset. Accessed on: Jul. 2, 2020. [Online]. Available: https://sites.google.com/site/alainrakotomamonjy/home/audio-scene
- A. Mesaros, T. Heittola, T. Virtanen. (2017). TUT Acoustic scenes 2017, Development dataset [Data set]. Zenodo. http://doi.org/10.5281/zenodo.400515
- A. Diment, A. Mesaros,T. Heittola, T. Virtanen. (2017). TUT Rare sound events, Development dataset [Data set]. Zenodo. http://doi.org/10.5281/zenodo.401395
- Trowitzsch, J. Taghia,Y. Kashef, K. Obermayer. (2019). NIGENS general sound events database [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2535878
- E. Fonseca, M. Collado, M. Plakal, D. P. W. Ellis, F. Font, X. Favory, X. Serra. (2019). FSDnoisy18k (Version 1.0) [Data set]. Zenodo. doi: http://doi.org/10.5281/zenodo.2529934