BioSounds

BioSounds provides management and analysis of passive acoustic monitoring recordings to support ecoacoustic biodiversity assessment.


Key Features:

  • Data Management: Storage and organization of soundscape recordings and associated metadata projects for large acoustic datasets.
  • Re-sampling and Annotation: Support for manual annotation and re-sampling of soniferous animals and soundscape components.
  • Automatic Annotation: Automatic annotation using deep-learning models tailored for all bird species and UK bat species.
  • Peer Review: Annotation validation via a peer-review system to ensure consensus on identified sounds.
  • Audio Analysis: Time- and frequency-domain audio analyses to extract acoustic characteristics and patterns.
  • Acoustic Indices Computation: Computation of alpha acoustic indices for quantifying biodiversity and ecosystem soundscape metrics.
  • Reference Libraries: Inclusion of reference sound libraries for various taxa to support identification and benchmarking.

Scientific Applications:

  • Bird and Bat Community Sampling: Detection and monitoring of bird and UK bat species communities using manual and model-based annotations.
  • Primate and Other Taxa Studies: Use of primate call libraries and reference taxa sounds for taxon-specific acoustic research.
  • Biodiversity Assessment: Quantification of biodiversity and ecosystem health through computed alpha acoustic indices and acoustic pattern analyses.

Methodology:

Manual annotation and re-sampling; automatic annotation using deep-learning models for all bird species and UK bat species; peer-review validation of annotations; time- and frequency-domain audio analyses; computation of alpha acoustic indices; use of reference sound libraries.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Programming Languages:
PHP, JavaScript, Python
Added:
1/18/2021
Last Updated:
2/4/2021

Operations

Publications

Darras KF, Pérez N, - M, Hanf-Dressler T. BioSounds: an open-source, online platform for ecoacoustics. F1000Research. 2020;9:1224. doi:10.12688/f1000research.26369.1. PMID:33274051. PMCID:PMC7682500.

PMID: 33274051
PMCID: PMC7682500
Funding: - Deutsche Forschungsgemeinschaft: SFB990/1, SFB990/2

Links