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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.13404 |
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| _version_ | 1866916594048827392 |
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| author | Jedrusiak, Mikel D. Harweg, Thomas Haselhoff, Timo Lawrence, Bryce T. Moebus, Susanne Weichert, Frank |
| author_facet | Jedrusiak, Mikel D. Harweg, Thomas Haselhoff, Timo Lawrence, Bryce T. Moebus, Susanne Weichert, Frank |
| contents | Soundscapes have been studied by researchers from various disciplines, each with different perspectives, goals, approaches, and terminologies. Accordingly, depending on the field, the concept of a soundscape's components changes, consequently changing the basic definition. This results in complicating interdisciplinary communication and comparison of results. Especially when soundscape-unrelated research areas are involved. For this reason, we present a potential formalization that is independent of the underlying soundscape definition, with the goal of being able to capture the heterogeneous structure of the data as well as the different ideologies in one model. In an exemplary analysis of frequency correlation matrices for land use type detection as an alternative to features like MFCCs, we show a practical application of our presented formalization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_13404 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Definition-independent Formalization of Soundscapes: Towards a Formal Methodology Jedrusiak, Mikel D. Harweg, Thomas Haselhoff, Timo Lawrence, Bryce T. Moebus, Susanne Weichert, Frank Sound Computer Vision and Pattern Recognition Audio and Speech Processing Soundscapes have been studied by researchers from various disciplines, each with different perspectives, goals, approaches, and terminologies. Accordingly, depending on the field, the concept of a soundscape's components changes, consequently changing the basic definition. This results in complicating interdisciplinary communication and comparison of results. Especially when soundscape-unrelated research areas are involved. For this reason, we present a potential formalization that is independent of the underlying soundscape definition, with the goal of being able to capture the heterogeneous structure of the data as well as the different ideologies in one model. In an exemplary analysis of frequency correlation matrices for land use type detection as an alternative to features like MFCCs, we show a practical application of our presented formalization. |
| title | Definition-independent Formalization of Soundscapes: Towards a Formal Methodology |
| topic | Sound Computer Vision and Pattern Recognition Audio and Speech Processing |
| url | https://arxiv.org/abs/2310.13404 |