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Article

Characterization of Sonic Events Present in Natural-Urban Hybrid Habitats Using UMAP and SEDnet: The Case of the Urban Wetlands

1
Institute of Acoustics, Universidad Austral de Chile, Valdivia 5111187, Chile
2
Institute of Informatics, Universidad Austral de Chile, Valdivia 5111187, Chile
3
Millennium Institute of Astrophysics, Santiago 7500011, Chile
*
Authors to whom correspondence should be addressed.
Academic Editors: Sławomir K. Zieliński and Alexander Sutin
Appl. Sci. 2021, 11(17), 8175; https://doi.org/10.3390/app11178175
Received: 1 July 2021 / Revised: 20 August 2021 / Accepted: 26 August 2021 / Published: 3 September 2021
We investigated whether the use of technological tools can effectively help in manipulating the increasing volume of audio data available through the use of long field recordings. We also explored whether we can address, by using these recordings and tools, audio data analysis, feature extraction and determine predominant patterns in the data. Similarly, we explored whether we can visualize feature clusters in the data and automatically detect sonic events. Our focus was primarily on enhancing the importance of natural-urban hybrid habitats within cities, which benefit communities in various ways, specifically through the natural soundscapes of these habitats that evoke memories and reinforce a sense of belonging for inhabitants. The loss of sonic heritage can be a precursor to the extinction of biodiversity within these habitats. By quantifying changes in the soundscape of these habitats over long periods of time, we can collect relevant information linked to this eventual loss. In this respect, we developed two approaches. The first was the comparison among habitats that progressively changed from natural to urban. The second was the optimization of the field recordings’ labeling process. This was performed with labels corresponding to the annotations of classes of sonic events and their respective start and end times, including events temporarily superimposed on one another. We compared three habitats over time by using their sonic characteristics collected in field conditions. Comparisons of sonic similarity or dissimilarity among patches were made based on the Jaccard coefficient and uniform manifold approximation and projection (UMAP). Our SEDnet model achieves a F1-score of 0.79 with error rate 0.377 and with the area under PSD-ROC curve of 71.0. In terms of computational efficiency, the model is able to detect sound events from an audio file in a time of 14.49 s. With these results, we confirm the usefulness of the methods used in this work for the process of labeling field recordings. View Full-Text
Keywords: urban wetlands; feature visualization; soundscape; sonic event detection urban wetlands; feature visualization; soundscape; sonic event detection
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MDPI and ACS Style

Poblete, V.; Espejo, D.; Vargas, V.; Otondo, F.; Huijse, P. Characterization of Sonic Events Present in Natural-Urban Hybrid Habitats Using UMAP and SEDnet: The Case of the Urban Wetlands. Appl. Sci. 2021, 11, 8175. https://doi.org/10.3390/app11178175

AMA Style

Poblete V, Espejo D, Vargas V, Otondo F, Huijse P. Characterization of Sonic Events Present in Natural-Urban Hybrid Habitats Using UMAP and SEDnet: The Case of the Urban Wetlands. Applied Sciences. 2021; 11(17):8175. https://doi.org/10.3390/app11178175

Chicago/Turabian Style

Poblete, Víctor, Diego Espejo, Víctor Vargas, Felipe Otondo, and Pablo Huijse. 2021. "Characterization of Sonic Events Present in Natural-Urban Hybrid Habitats Using UMAP and SEDnet: The Case of the Urban Wetlands" Applied Sciences 11, no. 17: 8175. https://doi.org/10.3390/app11178175

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