Cited by 11Animal Vocal Communication and BehaviorMusic and Audio ProcessingResearch Data Management Practices

ecoSound-web: an open-source, online platform for ecoacoustics

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Darras, Kevin F.A., Pérez, Noemí, Dilong, Liu, Hanf-Dressler, Tara, Markolf, Matthias, Wanger, Thomas C, Cord, Anna F.·2024·F1000Research

Abstract

Passive acoustic monitoring of soundscapes and biodiversity produces vast amounts of audio recordings, but the management and analyses of these raw data present technical challenges. A multitude of software solutions exist, but none can fulfil all purposes required for the management, processing, navigation, and analysis of acoustic data. The field of ecoacoustics needs a software tool that is free, evolving, and accessible. We take a step in that direction and present ecoSound-web: an open-source, online platform for ecoacoustics designed and built by ecologists and software engineers. ecoSound-web can be used for storing, re-sampling, organising, analysing, and sharing soundscape recording or metadata projects. Specifically, it allows manual annotation of soniferous animals and soundscape components, automatic annotation with deep-learning models for all birds and for UK bat species, peer-reviewing annotations, analysing audio in time and frequency dimensions, computing alpha acoustic indices, and providing reference sound libraries for different taxa. We present ecoSound-web’s structure and features, and describe its operation for typical use cases such as sampling bird and bat communities, using a primate call library, and the analysis of soundscape components and acoustic indices. ecoSound-web is available from: https://github.com/ecomontec/ecoSound-web

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  • Cloud-based platforms such as EcoSounds-web and ARBIMON, together with annotation-focused tools like Whombat, enable collaborative annotation, archiving, and querying of large acoustic datasets.

    “Cloud-based platforms such as EcoSounds-web and ARBIMON, together with annotation-focused tools like Whombat, enable collaborative annotation, archiving, and querying of large acoustic datasets”

    From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as K. F. Darras et al. 2024

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Authors
Darras, K. F. A., Pérez, N., Dilong, L., Hanf-Dressler, T., Markolf, M., Wanger, T. C., & Cord, A. F.
Affiliations
  • Westlake University (CN)
  • University of Göttingen (DE)
  • German Primate Center (DE)
  • University of Bonn (DE)
Corresponding author
  • Darras, Kevin F.A.
  • Pérez, Noemí
  • Dilong, Liu
  • Markolf, Matthias
  • Wanger, Thomas C
  • Cord, Anna F.
Venue
F1000Research
Published
2024-11-08
Volume
9
Pages
1224
ISSN
2046-1402 (ISSN-L)
OpenAlex
W4404190558
Cited by
11
References
44
Citations by year
2026: 7 · 2025: 4
FWCI
4.72
Type
journal article
Language
en
Open access
Locations
  • F1000Research (publishedVersion, cc-by)
  • HAL (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (SFB990/2, SFB990/1)
  • Westlake University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
  • Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
ecoacoustics, passive acoustic monitoring, soundscape analysis, open source software, automatic annotation, bat species identification, biodiversity monitoring, audio metadata

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