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References from An open reproducible framework for CNN-based cetacean vocalization detection in passive acoustic monitoring. Local targets link to admitted publications; unresolved targets remain external evidence.
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring.
10.1111/2041-210x.13101 · 2019 · External reference
An overview of fixed passive acoustic observation methods for cetaceans.
10.5670/oceanog.2007.03 · 2007 · External reference
Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales.
10.3354/meps08123 · 2009 · External reference
10.4060/cc6210en
10.4060/cc6210en · 2023 · External reference
10.1017/cbo9780511977107
10.1017/cbo9780511977107 · 2011 · External reference
Automatic detection and classification of odontocete whistles.
10.1121/1.4816555 · 2013 · External reference
Active contour-based detection of estuarine dolphin whistles in spectrogram images.
10.1016/j.ecoinf.2019.101036 · 2020 · External reference
Automatic detection of dolphin whistles and clicks based on entropy approach.
10.1016/j.ecolind.2020.106559 · 2020 · External reference
Whistle detection and classification for whales based on convolutional neural networks.
10.1016/j.apacoust.2019.02.007 · 2019 · External reference
Deep neural networks for automated detection of marine mammal species.
10.1038/s41598-020-57549-y · 2020 · External reference
Automated classification of Tursiops aduncus whistles based on a depth-wise separable convolutional neural network and data augmentation.
10.1121/10.0007291 · 2021 · External reference
10.1109/ijcnn48605.2020.9206992
10.1109/ijcnn48605.2020.9206992 · 2020 · External reference
Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data.
10.1121/10.0020274 · External reference
More than a whistle: automated detection of marine sound sources with a convolutional neural network.
10.3389/fmars.2022.879145 · 2022 · External reference
Semantic segmentation-based whistle extraction of Indo-Pacific bottlenose dolphin.
10.1016/j.ecolind.2022.108792 · 2022 · External reference
Automated detection of dolphin whistles with convolutional networks and transfer learning.
10.3389/frai.2023.1099022 · 2023 · External reference
Computational bioacoustics with deep learning: a review and roadmap.
10.7717/peerj.13152 · 2022 · External reference
Management of acoustic metadata for bioacoustics.
10.1016/j.ecoinf.2015.12.002 · 2016 · External reference
Standard for acoustic metadata for passive acoustic monitoring.
10.1121/1.5137191 · 2019 · External reference
The next wave of passive acoustic data management: how centralized access can enhance science.
10.3389/fmars.2021.703682 · 2021 · External reference
Koogu (v0.7.2) [software].
10.5281/zenodo.8254287 · 2023 · External reference
Ketos — a deep learning package for creating acoustic detectors and classifiers.
10.1121/10.0007998 · 2021 · External reference
ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning.
10.1038/s41598-022-26429-y · 2022 · External reference
Effects of network selection and acoustic environment on bounding-box object detection of delphinid whistles using a deep learning tool.
10.1121/10.0036942 · 2025 · External reference
PAMGuard: application software for passive acoustic detection, classification, and localisation of animal sounds.
10.1121/10.0042245 · 2026 · External reference
Assessing inter-annotator agreement from collaborative annotation campaign in marine bioacoustics.
10.1016/j.ecoinf.2020.101185 · 2021 · External reference
A quantitative analysis of pulsed signals emitted by wild bottlenose dolphins.
10.1371/journal.pone.0157781 · 2016 · External reference
Acoustic analysis of bottlenose dolphin vocalizations for behavioral classification in controlled settings.
10.1371/journal.pone.0336419 · 2025 · External reference
Convolutional neural networks for enhancing detection of dolphin whistles in a dense acoustic environment.
10.1109/access.2024.3454815 · 2024 · External reference
Real-time dolphin whistle detection on Raspberry Pi Zero 2 W with a TFLite convolutional neural network.
10.3390/robotics14050067 · 2025 · External reference
Recent advances on image edge detection: a comprehensive review.
10.1016/j.neucom.2022.06.083 · 2022 · External reference
10.1145/3097983.3098171
10.1145/3097983.3098171 · 2017 · External reference
Underwater image enhancement using contrast limited adaptive histogram equalization and layered difference representation.
10.1007/s11042-020-09890-3 · 2021 · External reference
10.17882/109081
10.17882/109081 · 2025 · External reference
10.25921/e12p-gj65
10.25921/e12p-gj65 · 2022 · External reference
10.1609/aaai.v32i1.11503
10.1609/aaai.v32i1.11503 · 2018 · External reference
10.5281/zenodo.19860736
10.5281/zenodo.19860736 · 2026 · External reference
ai-pam-pipeline framework, v1.1.0 [software].
10.5281/zenodo.19860736 · 2026 · External reference
