SONYC Urban Sound Tagging (SONYC-UST) is a dataset for the development and evaluation of machine listening systems for realworld urban noise monitoring. It consists of 3068 audio recordings from the "Sounds of New York City" (SONYC) acoustic sensor network:
Via the Zooniverse citizen science platform, volunteers tagged the presence of 23 fine-grained classes that were chosen in consultation with the New York City Department of Environmental Protection. These 23 fine-grained classes can be grouped into eight coarse-grained classes:
The SONC-UST taxonomy (click to enlarge)
For more details please see:
SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network
M. Cartwright, A. E. Mendez Mendez, J. Cramer, V. Lostanlen, G. Dove, H.-H. Wu, J. Salamon, O. Nov, and J.P. Bello
Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), pages 35-39, New York University, NY, USA, Oct. 2019.
Download SONYC-UST: https://doi.org/10.5281/zenodo.3338310
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