Results 101 to 110 of about 20,302 (308)

Synthetic communication signals influence wild harbour porpoise (Phocoena phocoena) behaviour [PDF]

open access: yes, 2015
We used our novel and programmable Porpoise Alarm (PAL, patd.) to synthesize life-like, electronic harbour porpoise communication signals based on those described for captive animals.
Conrad, Matthias   +3 more
core   +1 more source

Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract The biodiversity crisis necessitates spatially extensive methods to monitor multiple taxonomic groups for evidence of change in response to evolving environmental conditions. Programs that combine passive acoustic monitoring and machine learning are increasingly used to meet this need. These methods require large, annotated datasets, which are
Matthew J. Weldy   +8 more
wiley   +1 more source

Evolutionary origins of ultrasonic hearing and laryngeal echolocation in bats inferred from morphological analyses of the inner ear [PDF]

open access: yes, 2013
PMCID: PMC3598973This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided ...
Davies, KTJ, Maryanto, I, Rossiter, SJ
core   +1 more source

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

open access: yesMethods 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   +16 more
wiley   +1 more source

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

open access: yes, 2019
This paper proposes multiscale convolutional neural network (CNN)-based deep metric learning for bioacoustic classification, under low training data conditions.
Nigam, Aditya   +3 more
core   +1 more source

A tiny new species of Platypelis from the Marojejy National Park in northeastern Madagascar (Amphibia: Microhylidae) [PDF]

open access: yes, 2012
We describe a tiny new frog species of the genus Platypelis (Anura: Microhylidae: Cophylinae) from Marojejy National Park, northeastern Madagascar. Platypelis ravus sp. nov.
Glaw, Frank   +2 more
core   +2 more sources

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

open access: yesScientific 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   +4 more
semanticscholar   +1 more source

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

open access: yesMethods 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   +12 more
wiley   +1 more source

Freshwater ecoacoustics as a tool for continuous ecosystem monitoring [PDF]

open access: yes, 2018
Copyright by the Ecological Society of AmericaPassive acoustic monitoring is gaining popularity in ecology as a practical and non-invasive approach to surveying ecosystems.
Aubin, Thierry   +9 more
core   +1 more source

Let's stop measuring animal sound frequencies in hertz

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Research on the function and evolution of animal sounds typically analyses sound frequency on a linear scale (Hz), despite the perception and modulation of sound frequency by animals being better described with an equal‐ratios scale (logHz). Using a linear frequency scale causes bias in analyses, and distorts the visual representation of sound
Gonçalo C. Cardoso
wiley   +1 more source

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