Exploring a Long-Term Dataset of Nature Reserve Ambisonics Recordings
Poepel C, Finger K, Peters N, Edler B (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Association for Computing Machinery
Pages Range: 84-87
Conference Proceedings Title: ACM International Conference Proceeding Series
Event location: St. Pölten
ISBN: 9781450397018
Abstract
Since 2017, monthly 3D audio recordings of a nature preserve capture the acoustic environment over seasons and years. The recordings are made at the same location and using the same recording equipment, capturing one hour before and after sunset. The recordings, annotated with real-Time weather data and manually labeled for acoustic events, are made to understand if and how a natural soundscape evolves over time allowing for data-driven speculation about transformations of the soundscape that might be caused by climate change. After a short description of the general project and its current state, methods and results of algorithmic analysis used are presented and the results are discussed. Further methods of collecting additional data and expanded analyses of the body of data are suggested.
Authors with CRIS profile
Nils Peters
Professur für Audiosignalverarbeitung (AudioLabs) (Stiftungsprofessur)
Bernd Edler
Lehrstuhl für Audiosignalanalyse (AudioLabs) (Stiftungslehrstuhl)
Involved external institutions
Germany (DE)How to cite
APA:
Poepel, C., Finger, K., Peters, N., & Edler, B. (2022). Exploring a Long-Term Dataset of Nature Reserve Ambisonics Recordings. In ACM International Conference Proceeding Series (pp. 84-87). St. Pölten, AT: Association for Computing Machinery.
MLA:
Poepel, Cornelius, et al. "Exploring a Long-Term Dataset of Nature Reserve Ambisonics Recordings." Proceedings of the 17th International Audio Mostly Conference: What You Hear is What You See? Perspectives on Modalities in Sound and Music Interaction, AM 2022, St. Pölten Association for Computing Machinery, 2022. 84-87.
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