Birds, bats and beyond: Evaluating generalization in bioacoustics models
In the context of passive acoustic monitoring (PAM) better models are needed to reliably
gain insights from large amounts of raw, unlabeled data. Bioacoustics foundation models …
gain insights from large amounts of raw, unlabeled data. Bioacoustics foundation models …
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
Automated bioacoustic analysis aids understanding and protection of both marine and
terrestrial animals and their habitats across extensive spatiotemporal scales, and typically …
terrestrial animals and their habitats across extensive spatiotemporal scales, and typically …
Out-of-domain robustness via targeted augmentations
Abstract Models trained on one set of domains often suffer performance drops on unseen
domains, eg, when wildlife monitoring models are deployed in new camera locations. In this …
domains, eg, when wildlife monitoring models are deployed in new camera locations. In this …
Domain‐specific neural networks improve automated bird sound recognition already with small amount of local data
P Lauha, P Somervuo, P Lehikoinen… - Methods in Ecology …, 2022 - Wiley Online Library
An automatic bird sound recognition system is a useful tool for collecting data of different
bird species for ecological analysis. Together with autonomous recording units (ARUs), such …
bird species for ecological analysis. Together with autonomous recording units (ARUs), such …
Extensive data engineering to the rescue: building a multi-species katydid detector from unbalanced, atypical training datasets
Passive acoustic monitoring (PAM) is a powerful tool for studying ecosystems. However, its
effective application in tropical environments, particularly for insects, poses distinct …
effective application in tropical environments, particularly for insects, poses distinct …
Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists
Recent years have seen a dramatic rise in the use of passive acoustic monitoring (PAM) for
biological and ecological applications, and a corresponding increase in the volume of data …
biological and ecological applications, and a corresponding increase in the volume of data …
Feature embeddings from large-scale acoustic bird classifiers enable few-shot transfer learning
Automated bioacoustic analysis aids understanding and protection of both marine and
terrestrial animals and their habitats across extensive spatiotemporal scales, and typically …
terrestrial animals and their habitats across extensive spatiotemporal scales, and typically …
A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring
Global change is predicted to induce shifts in anuran acoustic behavior, which can be
studied through passive acoustic monitoring (PAM). Understanding changes in calling …
studied through passive acoustic monitoring (PAM). Understanding changes in calling …
Unsupervised classification to improve the quality of a bird song recording dataset
Open audio databases such as Xeno-Canto are widely used to build datasets to explore bird
song repertoire or to train models for automatic bird sound classification by deep learning …
song repertoire or to train models for automatic bird sound classification by deep learning …
soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes
Soundscapes contain rich acoustic information associated with animal behaviours,
environmental characteristics and human activities, providing opportunities for predicting …
environmental characteristics and human activities, providing opportunities for predicting …