Towards an interdisciplinary formalization of soundscapes Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.1121/10.0025543
Soundscapes have been studied by researchers from various disciplines, each with different perspectives, approaches, and terminologies. Consequently, the research field determines the actual concept of a specific soundscape with the associated components and also affects the definition itself. This complicates interdisciplinary communication and comparison of results, especially when research areas are involved which are not directly focused on soundscapes. For this reason, we present a formalization that aims to be independent of the concepts from the various disciplines, with the goal of being able to capture the heterogeneous data structure in one layered model. Our model consists of time-dependent sound sources and geodata that influence the acoustic composition of a soundscape represented by our sensor function. Using a case study, we present the application of our formalization by classifying land use types. For this we analyze soundscapes in the form of recordings from different devices at 23 different locations using three-dimensional convolutional neural networks and frequency correlation matrices. In our results, we present that soundscapes can be grouped into classes, but the given land use categories do not have to correspond to them.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1121/10.0025543
- https://pubs.aip.org/asa/jasa/article-pdf/155/4/2549/19878439/2549_1_10.0025543.pdf
- OA Status
- bronze
- Cited By
- 3
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394692440
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394692440Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1121/10.0025543Digital Object Identifier
- Title
-
Towards an interdisciplinary formalization of soundscapesWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-01Full publication date if available
- Authors
-
Mikel David Jedrusiak, Thomas Harweg, Timo Haselhoff, Bryce T. Lawrence, Susanne Moebus, Frank WeichertList of authors in order
- Landing page
-
https://doi.org/10.1121/10.0025543Publisher landing page
- PDF URL
-
https://pubs.aip.org/asa/jasa/article-pdf/155/4/2549/19878439/2549_1_10.0025543.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://pubs.aip.org/asa/jasa/article-pdf/155/4/2549/19878439/2549_1_10.0025543.pdfDirect OA link when available
- Concepts
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Soundscape, Computer science, Field (mathematics), Function (biology), Convolutional neural network, Relation (database), Data science, Artificial intelligence, Acoustics, Data mining, Sound (geography), Mathematics, Pure mathematics, Biology, Physics, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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