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Published on: September 12, 2012
Towards an interdisciplinary formalization of soundscapes
Mikel D Jedrusiak1, Thomas Harweg1, Timo Haselhoff2
1Department of Computer Science, Computergraphics, Technical University of Dortmund, Otto-Hahn-Straße 16, 44227 Dortmund, Germany.
This study introduces a novel, interdisciplinary model for analyzing soundscapes, enabling better communication across diverse research fields. The findings show soundscapes can be classified, but not always by predefined land use categories.
Area of Science:
- Acoustic ecology
- Environmental science
- Data science
Background:
- Soundscape research spans multiple disciplines, leading to varied terminologies and definitions.
- This heterogeneity complicates interdisciplinary communication and data comparison.
- A unified approach is needed to integrate diverse soundscape data.
Purpose of the Study:
- To develop a formalization for soundscape analysis independent of specific disciplinary concepts.
- To create a layered model capable of handling heterogeneous soundscape data structures.
- To apply this formalization for classifying land use types based on soundscape characteristics.
Main Methods:
- A layered model incorporating time-dependent sound sources and geodata.
- Utilizing a sensor function to represent acoustic composition.
- Analysis of soundscape recordings from 23 locations using 3D convolutional neural networks and frequency correlation matrices.
Main Results:
- Demonstrated the ability to group soundscapes into distinct classes.
- Found that classified soundscape groups do not necessarily align with predefined land use categories.
- Validated the application of the formalization through a case study.
Conclusions:
- The proposed formalization provides a unified framework for interdisciplinary soundscape research.
- Soundscape classification is feasible, but land use is not always a direct determinant.
- The model facilitates a more consistent understanding and comparison of soundscape data across fields.
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