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This dataset includes 115 audio recordings and corresponding metadata. The audio recordings were obtained through two monitoring stations installed in different parts of Valdivia (city ubicated at the south of Chile). The two monitoring stations listened to a grand total of 30,240 minutes during two-week and one-week operation periods, respectively. From this dataset only 115 minutes were flagged as surpassing the established sound pressure level. The FuSA system (https://www.acusticauach.cl/fusa/) was then used to obtain event predictions for the 115 minutes subset. The file metadata.csv includes predictions for each audio recordings and their corresponding probabilities.
audio tagging, environmental acoustics, urban sounds, acoustic noise regulation, artificial neural networks, event classification
audio tagging, environmental acoustics, urban sounds, acoustic noise regulation, artificial neural networks, event classification
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