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 …
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 …
[HTML][HTML] Learning to detect an animal sound from five examples
Automatic detection and classification of animal sounds has many applications in
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …
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 …
Aves: Animal vocalization encoder based on self-supervision
M Hagiwara - … 2023-2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The lack of annotated training data in bioacoustics hinders the use of large-scale neural
network models trained in a supervised way. In order to leverage a large amount of …
network models trained in a supervised way. In order to leverage a large amount of …
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
The ability for a machine learning model to cope with differences in training and deployment
conditions--eg in the presence of distribution shift or the generalization to new classes …
conditions--eg in the presence of distribution shift or the generalization to new classes …
Transferable models for bioacoustics with human language supervision
D Robinson, A Robinson… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Passive acoustic monitoring offers a scalable, non-invasive method for tracking global
biodiversity and anthropogenic impacts on species. Although deep learning has become a …
biodiversity and anthropogenic impacts on species. Although deep learning has become a …
Applying machine learning to primate bioacoustics: Review and perspectives
This paper provides a comprehensive review of the use of computational bioacoustics as
well as signal and speech processing techniques in the analysis of primate vocal …
well as signal and speech processing techniques in the analysis of primate vocal …