Results 71 to 80 of about 8,674 (182)

An overview of fish bioacoustics and the impacts of anthropogenic sounds on fishes

Journal of Fish Biology, 2019
Fishes use a variety of sensory systems to learn about their environments and to communicate. Of the various senses, hearing plays a particularly important role for fishes in providing information, often from great distances, from all around these ...
A. Popper, A. Hawkins
semanticscholar   +1 more source

New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models

Methods in Ecology and Evolution, EarlyView.
Abstract The integration of artificial intelligence (AI) into biodiversity research and conservation is growing rapidly, demonstrating great potential in reducing the intensive human labour required for data preprocessing, thereby, facilitating larger data collections that offer ecological insights at unprecedented scales.
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Pablo Arbelaez, Pengce Wang, Rahul Dodhia, Juan Lavista Ferres   +16 more
wiley   +1 more source

Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics

Scientific Reports, 2019
We implemented Machine Learning (ML) techniques to advance the study of sperm whale (Physeter macrocephalus) bioacoustics. This entailed employing Convolutional Neural Networks (CNNs) to construct an echolocation click detector designed to classify ...
P. Bermant, M. Bronstein, R. Wood, S. Gero, D. F. Gruber   +4 more
semanticscholar   +1 more source

Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics

Methods in Ecology and Evolution, EarlyView.
Abstract Data collected by autonomous sensors, including camera traps and acoustic recorders, have enormous potential to generate new scientific insights in ecology and related fields. Modern machine learning and AI classification methods are critical to analysing these often immense data streams.
Justin Kitzes, Lauren Chronister, Chapin Czarnecki, Cameron Fiss, Louis Freeland‐Haynes, Brooke D. Goodman, Sam Lapp, R. Patrick Lyon, Hannah Nossan, Tessa A. Rhinehart, Santiago Ruiz Guzman, Alexandra Syunkova, Leonardo Viotti   +12 more
wiley   +1 more source

Reshaping Bioacoustics Event Detection: Leveraging Few-Shot Learning (FSL) with Transductive Inference and Data Augmentation

Bioengineering
Bioacoustic event detection is a demanding endeavor involving recognizing and classifying the sounds animals make in their natural habitats. Traditional supervised learning requires a large amount of labeled data, which are hard to come by in ...
Nouman Ijaz, Farhad Banoori, Insoo Koo
semanticscholar   +1 more source

Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques

Remote Sensing in Ecology and Conservation
For many species at risk, monitoring challenges related to low visual detectability and elusive behavior limit the use of traditional visual surveys to collect critical information, hindering the development of sound conservation strategies.
Florence Erbs, Mike van derSchaar, Miriam Marmontel, Marina Gaona, Emiliano Ramalho, Michel André   +5 more
doaj   +1 more source

BSG‐BATS: An open‐source data annotation portal and classifier for European bat vocalizations

Methods in Ecology and Evolution, EarlyView.
Abstract Bats are ecologically important mammals whose monitoring increasingly relies on acoustic data. However, many tools for bat call identification remain subscription‐based, closed‐source, region‐specific or limited in scalability, creating barriers to global data integration and method development.
Katarina Meramo, Panu Somervuo, Meeri Rannisto, Patrik Lauha, Adrià López‐Baucells, Fabrizio Gili, Tomas Roslin, Thomas M. Lilley, Otso Ovaskainen   +8 more
wiley   +1 more source

Implications of target signal choice in passive acoustic monitoring: an example of age‐ and sex‐dependent vocal repertoire use in African forest elephants (Loxodonta cyclotis)

Remote Sensing in Ecology and Conservation
Passive acoustic monitoring (PAM) is an effective remote sensing approach for sampling acoustically active animal species and is particularly useful for elusive, visually cryptic species inhabiting remote or inaccessible habitats.
Colin R. Swider, Daniela Hedwig, Peter H. Wrege, Susan E. Parks   +3 more
doaj   +1 more source

ESPERDYNE: A dual‐band heterodyne monitor and ultrasound recorder for bioacoustic field surveys

Methods in Ecology and Evolution, EarlyView.
Abstract Background. Ultrasonic monitoring is essential for ecological studies of bats and other animals, yet high‐performance field devices remain prohibitively expensive and inaccessible—particularly in biodiversity‐rich regions with limited research infrastructure.
Ravi Umadi
wiley   +1 more source

Impact of Forest Fragmentation and Associated Edge Effects on Tropical Forest Biodiversity in North West Madagascar, Assessed via Ecoacoustics

Animal Conservation, EarlyView.
Deforestation in the tropics is a major threat to forest‐specialist animals, many of which are already threatened with extinction. We assessed how forest fragmentation and its associated edge‐effects impact animal biodiversity in Northwest Madagascar using soundscape analysis and acoustic indices.
Daniel Hending, Heriniaina Randrianarison, Niaina Nirina Mahefa Andriamavosoloarisoa, Christina Ranohatra‐Hending, Grainne McCabe, Sam Cotton, Marc W. Holderied   +6 more
wiley   +1 more source