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.