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Exploring a Long-term Dataset of Nature Reserve Ambisonics Recordings

Published: 10 October 2022 Publication History

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.

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cover image ACM Other conferences
AM '22: Proceedings of the 17th International Audio Mostly Conference
September 2022
245 pages
ISBN:9781450397018
DOI:10.1145/3561212
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 10 October 2022

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Author Tags

  1. bioacoustic
  2. ecoacoustics
  3. signal analysis
  4. soundscape

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AM '22
AM '22: AudioMostly 2022
September 6 - 9, 2022
St. Pölten, Austria

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Overall Acceptance Rate 177 of 275 submissions, 64%

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