WABAD: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring
Résumé
Under the current global biodiversity crisis, there is a need for automated and non-invasive monitoring
techniques that are able to gather large amounts of information cost-effectively at large scales. One
such technique is passive acoustic monitoring, which is commonly coupled with automatic identication
of animal species based on their sound. Automated sound analyses usually require the training of sound
detection and identication algorithms. These algorithms are based on annotated acoustic datasets
which mark the occurrence of sounds of particular species. However, compiling large annotated
acoustic datasets is time consuming and requires experts, and therefore they normally cover a reduced
spatial and taxonomic scale. This data paper presents WABAD, the World Annotated Bird Acoustic
Dataset for passive acoustic monitoring. WABAD is designed to provide the public, the research
community, and conservation managers with a novel and globally representative annotated acoustic
dataset. This database includes 5,044 minutes of audio les annotated to species-level by local experts
with the start and end time, and the upper and lower frequencies of each identied bird vocalisation in
the recordings. The database has a wide taxonomic and spatial coverage, including information on
90,662 vocalisations from 1,147 bird species recorded at 70 recording sites in 27 countries and
distributed across 13 biomes. WABAD can be used, for example, for developing and/or validating
automatic species detection algorithms, answering ecological questions, such as assessing
geographical variations on bird vocalisations, or comparing acoustic diversity indices with species-based
diversity indices. The dataset is published under a Creative Commons Attribution Non Commercial 4.0
International copyright.
Mots clés
Animal vocalisations Autonomous recording units birds human expert annotation passive acoustic monitoring song soundscape Class I. Data Set Descriptors A. Data set identity: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring B. Data set identi cation code: WABAD C. Data set description
Animal vocalisations
Autonomous recording units
birds
human expert annotation
passive acoustic monitoring
song
soundscape Class I. Data Set Descriptors A. Data set identity: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring B. Data set identi cation code: WABAD C. Data set description
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