ArticleScientific data2023
A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 32 citations in OpenAlex.
- Article
- Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Temporal patterns of Amazonian insect acoustic activity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- A curated benchmark dataset for molecular identification based on genome skimming.Scientific data · 2025Article
- A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring.Scientific data · 2023Article
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Authors and funding
19 authors at 8 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global change is predicted to induce shifts in anuran acoustic behavior, which can be studied through passive acoustic monitoring (PAM). Understanding changes in calling behavior requires automatic identification of anuran species, which is challenging due to the particular characteristics of neotropical soundscapes. In this paper, we introduce a large-scale multi-species dataset of anuran amphibians calls recorded by PAM, that comprises 27 hours of expert annotations for 42 different species from two Brazilian biomes. We provide open access to the dataset, including the raw recordings, experimental setup code, and a benchmark with a baseline model of the fine-grained categorization problem. Additionally, we highlight the challenges of the dataset to encourage machine learning researchers to solve the problem of anuran call identification towards conservation policy. All our experiments and resources have been made available at https://soundclim.github.io/anuraweb/ .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.