A5046715477- Marine animal studies overview
- Animal Vocal Communication and Behavior
- Meat and Animal Product Quality
- Speech and Audio Processing
- Underwater Acoustics Research
- Heart Rate Variability and Autonomic Control
- Marine and fisheries research
- Music and Audio Processing
- Non-Invasive Vital Sign Monitoring
- Animal Behavior and Welfare Studies
- Coral and Marine Ecosystems Studies
- Music Technology and Sound Studies
- Animal Nutrition and Physiology
- Biomimetic flight and propulsion mechanisms
- Animal Behavior and Reproduction
- Identification and Quantification in Food
- Water Quality Monitoring Technologies
- Fish biology, ecology, and behavior
- Food Supply Chain Traceability
- Fish Ecology and Management Studies
University of Agder
2021-2024
University of Copenhagen
2024
Research Institute for Farm Animal Biology (FBN)
2020-2023
Texas A&M University at Galveston
2019-2021
University of Southern Denmark
2015-2020
Abstract As animals vocalize, their vocal organ transforms motor commands into vocalizations for social communication. In birds, the physical mechanisms by which are produced and controlled remain unresolved because of extreme difficulty in obtaining vivo measurements. Here, we introduce an ex preparation avian that allows simultaneous high-speed imaging, muscle stimulation kinematic acoustic analyses to reveal production birds across a wide range taxa. Remarkably, show all species tested...
Abstract The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means harnessing the power big data. Marine ecology no exception. New methods provide analysis data from sensors, cameras, acoustic recorders, even in real time, ways that are reproducible rapid. Off-the-shelf algorithms find, count, classify species digital images or video detect cryptic patterns noisy These endeavours require collaboration across ecological science disciplines,...
Vocal expression of emotions has been observed across species and could provide a non-invasive reliable means to assess animal emotions. We investigated if pig vocal indicators revealed in previous studies are valid call types contexts, potentially be used develop an automated emotion monitoring tool. performed analysis extensive unique dataset low (LF) high frequency (HF) calls emitted by pigs numerous commercial contexts from birth slaughter (7414 411 pigs). Our results that the valence...
Passive acoustic monitoring has proven to be an indispensable tool for many aspects of baleen whale research. Manual detection calls on these large data sets demands extensive manual labor. Automated call detectors offer a more efficient approach and have been developed species types. However, with level variability such as fin (Balaenoptera physalus) 40 Hz blue (B. musculus) D challenging detect automatically hence no practical automated detector exists two Using modular consisting faster...
Bioacoustics and artificial intelligence facilitate ecological studies of animal populations
Passive acoustic monitoring is a method that commonly used to collect long-term data on soniferous animal presence and abundance. However, these large datasets require substantial effort for manual analysis; therefore, automatic methods are more effective way conduct analyses extract points of interest. In this study, an energy detector subsequent pre-trained neural network were detect classify six fish call types from dataset collected in the northern Gulf Mexico. The development two-step...
Abstract Length and depth of fish larvae are part the fundamental measurements in many marine ecology studies involving early life history. Until now, obtaining these has required intensive manual labor risk inter‐ intra‐observer variability. We developed an open‐source software solution to semi‐automate measurement process thereby reduce both time consumption technical Using contrast‐based edge detection, segments images a larva into “larva” “background.” extracted from segmentation while...
Significance Vocal communication is critical to the reproduction and survival of mammals birds. Computational physics-based models can facilitate understanding relation voice physiology sound, but there currently an absence thorough experimental validation. Here, we present experimentally test a high-fidelity, continuum model for voiced sound production in birds that includes anatomically realistic geometries syrinx associated vocal tract. We show that, driven by physiologically quantifiable...
Abstract The assessment of heart rate (HR) and variability (HRV) based on electrocardiograms (ECG) is considered a good proxy for stress in wide range animal species. However, problems can occur e.g., when measuring ECG ambulatory settings such as recording unrestrained animals using non‐invasive devices. Artefacts caused by technical (i.e. bad electrode contact) or physiological ectopic beats, non‐cardiac muscle potentials) sources are common disturb the signal. As HRV analysis highly...
The complex and elaborate vocalizations uttered by many of the 10,000 extant bird species are considered a major driver in their evolutionary success, warranting study underlying mechanisms vocal production. Additionally, birdsong has developed into highly productive model system for imitation learning motor control, where, contrast to humans, we have experimental access entire neuromechanical control loop. In human voice production, laryngeal geometry, fold tissue properties, airflow...
Using blue and fin whale calls for estimating population density of the two species from passive acoustic data is an active research topic. However, manually analyzing long-term extremely time consuming yet a necessary first step such work. Blue social are highly variable quite similarity, which has resulted in challenges developing automatic detectors these calls. The applicability faster region-based convolutional neural network (Faster R-CNN) method speeding up this detection...
The Northeast Pacific (NEP) population of blue whales Balaenoptera musculus is currently managed as a single stock. We investigated the fine-scale frequency characteristics 1 NEP whale song unit, B call. analyzed calls from passive acoustic data collected between 2010 and 2013 at 2 low-latitude sites, Palmyra Atoll Hawaiian Islands, 3 higher-latitude off southern California, Washington state in Gulf Alaska. Frequency measurements were extracted along contour third harmonic each call, region...
The deep learning revolution is touching all scientific disciplines and corners of our lives as a means harnessing the power big data. Marine ecology no exception. These new methods provide analysis data from sensors, cameras, acoustic recorders, even in real time, ways that are reproducible rapid. Off-the-shelf algorithms can find, count, classify species digital images or video detect cryptic patterns noisy Using these opportunities requires collaboration across ecological science...
Abstract Voiced sound production is the primary form of acoustic communication in terrestrial vertebrates, particularly birds and mammals, including humans. Developing a causal physics-based model that links descending vocal motor control to tissue vibration requires embodied approaches include realistic representations voice physiology. Here we first implement then experimentally test high-fidelity three-dimensional continuum for voiced birds. Driven by individual-based physiologically...