Julie N. Oswald

University of St Andrews

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Marc O. Lammers

NOAA Office of National Marine Sanctuaries

Shannon Rankin

NOAA National Marine Fisheries Service Southwest Fisheries Science Center

Jay Barlow

NOAA National Marine Fisheries Service Southwest Fisheries Science Center

Whitlow W. L. Au

University of Hawaii System

Thomas F. Norris

Acoustical Society of America

Tina M. Yack

St Nicholas Hospital

Alexandre Gannier

University of Rhode Island

Elena Papale

National Research Council

Vincent M. Janik

University of St Andrews

Marta Azzolin

Accademia Albertina delle Belle Arti

Cooperative Institutions

Acoustical Society of America

110

Interacoustics (Denmark)

104

University of Hawaii System

National Oceanic and Atmospheric Administration

NOAA National Marine Fisheries Service

Woods Hole Oceanographic Institution

Scripps Institution of Oceanography

University of Rhode Island

University of California, San Diego

University of Washington

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Comparison of real-time and post-cruise acoustic species identification of dolphin whistles using ROCCA (Real-time Odontocete Call Classification Algorithm)

Yvonne Barkley Julie N. Oswald James V. Carretta Shannon Rankin Alexis B. Rudd

Identification

Source

Cite

Citations (8)

Detecting and identifying cetaceans species from their acoustic emissions.

The Journal of the Acoustical Society of America (2010)

Whitlow W. L. Au Julie N. Oswald

In the past decade, the use of autonomous remote passive acoustic recorders to detect the presence of cetaceans has grown enormously throughout the world. Since these devices digitize acoustic signals at sampling rates in the tens of kHz, a single device can quickly accumulate many Gbytes of data in a short time. Therefore, automatic detection and recognition algorithms must be developed to handle the large amount of data. There is no general signal method processing method that can be applied to all species of cetacean. The algorithm by the name of ROCCA (real-time odontocete call classification algorithm) developed by Dr. Julie Oswald is probably the most general one that has been applied to the whistles of dolphins. The program, extensible bio acoustics tool (XBAT) developed by Harold Figueroa, is probably the most general tool for use with baleen whales. However, investigators also tend to develop their own algorithms to suit their requirements. The problems and difficulties in developing automatic detection and recognition algorithms will be the focus of this presentation. General principles associated with the geography, biology, and the characteristics of sound emissions in relation to the development of algorithms will be discussed along with examples of different approaches.

Baleen

Human echolocation

General purpose

Bioacoustics

Presentation (obstetrics)

10.1121/1.3384867

Cite

Citations (0)

Whistle classification in the California Current : a complete whistle classifier for a large geographic region with high species diversity

Jennifer L. Keating Julie N. Oswald Shannon Rankin Jay Barlow

10.7289/v5/tm-swfsc-552

Cite

Citations (1)

Listening for Whales at the Station ALOHA Cabled Observatory

Modern acoustics and signal processing (2016)

Julie N. Oswald Helen H. Ou Whitlow W. L. Au Bruce M. Howe Fred K. Duennebier

Baleen

10.1007/978-1-4939-3176-7_9

Cite

Citations (1)

A review of fixed autonomous underwater recorders.

The Journal of the Acoustical Society of America (2010)

Renata S. Sousa‐Lima Thomas F. Norris Julie N. Oswald

Autonomous underwater recorders (ARs) are fixed passive acoustic electronic systems that acquire and store acoustic data internally (i.e., without a cable or radio link to a receiving station). They are deployed semi-permanently underwater (via a mooring, buoy, or resting on the sea-floor) and must be retrieved after the deployment period to access the data. ARs are capable of monitoring and recording underwater sounds over a wide range of spatial and temporal scales. As part of a Joint Oil & Gas Industry Program on Sound and Marine Life (JIP) sponsored effort, we reviewed over 30 ARs that are available for recording marine mammal sounds. They varied greatly in price and capabilities, from small hand-deployable units for detecting dolphin and porpoise clicks in shallow water to large units that can be deployed in deep water and record wide frequency bands for long durations. Considerations to weigh when selecting which device to use include price, longevity and depth of deployment, area to be monitored, and, most importantly, the bandwidth and the characteristics of sounds to be monitored (i.e., marine mammal call types and noise sources).

Marine mammal

Buoy

Ambient noise level

Mooring

10.1121/1.3508713

Cite

Citations (0)

Whistle characteristics and daytime dive behavior in pantropical spotted dolphins (Stenella attenuata) in Hawai‘i measured using digital acoustic recording tags (DTAGs)

The Journal of the Acoustical Society of America (2016)

Tammy L. Silva T. Aran Mooney Laela S. Sayigh Peter L. Tyack Robin W. Baird

This study characterizes daytime acoustic and dive behavior of pantropical spotted dolphins (Stenella attenuata) in Hawai‘i using 14.58 h of data collected from five deployments of digital acoustic recording tags (DTAG3) in 2013. For each tagged animal, the number of whistles, foraging buzzes, dive profiles, and dive statistics were calculated. Start, end, minimum, and maximum frequencies, number of inflection points and duration were measured from 746 whistles. Whistles ranged in frequency from 9.7 ± 2.8 to 19.8 ± 4.2 kHz, had a mean duration of 0.7 ± 0.5 s and a mean of 1.2 ± 1.2 inflection points. Thirteen foraging buzzes were recorded across all tags. Mean dive depth and duration were 16 ± 9 m and 1.9 ± 1.0 min, respectively. Tagged animals spent the majority of time in the upper 10 m (76.9% ± 16.1%) of the water column. Both whistle frequency characteristics and dive statistics measured here were similar to previously reported values for spotted dolphins in Hawai‘i. Shallow, short dive profiles combined with few foraging buzzes provide evidence that little spotted dolphin feeding behavior occurs during daytime hours. This work represents one of the first successful DTAG3 studies of small pelagic delphinids, providing rare insights into baseline bioacoustics and dive behavior.

Pantropical

Human echolocation

Bioacoustics

10.1121/1.4955081

Cite

Citations (12)

Performance of a contour-based classification method for whistles of Mediterranean delphinids

Applied Acoustics (2010)

Alexandre Gannier Sandra Fuchs Paméla Quèbre Julie N. Oswald

Delphinus delphis

Bottlenose dolphin

Bioacoustics

Sperm whale

10.1016/j.apacoust.2010.05.019

Cite

Citations (47)

Development of Automated Whistle and Click Classifiers for Odontocete Species in the Northwest Atlantic Ocean and the Waters Surrounding the Hawaiian Islands

Julie N. Oswald Tina M. Yack

Abstract : The primary objective of this effort is to develop combined automated whistle and click classifiers for odontocete species in the northwest Atlantic Ocean and the waters surrounding the Hawaiian Islands. We will also incorporate ancillary information (e.g. vocalization rate, relative abundance of whistles and clicks, latitude of acoustic encounter) about acoustic encounters into the classifiers in an effort to improve classification the performance. These classifiers will be implemented in an existing whistle classifier, known as the Real-time Odontocete Call Classification Algorithm (ROCCA). ROCCA currently is available to users as a module in the acoustic processing software platform, PAMGuard (Gillespie et al. 2008). We will integrate new classifiers with fully automated detectors and feature extractors in PAMGuard to provide a complete tool for efficiently and automatically processing the large datasets generated from Passive Acoustic Monitoring (PAM). When these tasks have been completed, we will use archival acoustic data recorded in the temperate Pacific Ocean to create whistle, click and ancillary information feature vectors. These feature vectors will be used to train a temperate Pacific classifier under an LMR-funded effort.

10.21236/ada616536

Cite

Citations (0)

Passive acoustic monitoring of Cook Inlet beluga whales (Delphinapterus leucas)

The Journal of the Acoustical Society of America (2013)

Marc O. Lammers Manuel Castellote Robert J. Small Shannon Atkinson Justin Jenniges

The endangered beluga whale (Delphinapterus leucas) population in Cook Inlet, AK faces threats from a variety of anthropogenic factors, including coastal development, oil and gas exploration, vessel traffic, and military activities. To address existing gaps in understanding about the occurrence of belugas in Cook Inlet, a project was developed to use passive acoustic monitoring to document the year-round distribution of belugas, as well as killer whales (Orcinus orca), which prey on belugas. Beginning in June 2009, ten moorings were deployed throughout the Inlet and refurbished every two to eight months. Despite challenging conditions consisting of strong tidal currents carrying debris and seasonal ice cover, 83% of mooring deployments were successfully recovered. Noise from water flow, vessel traffic, and/or industrial activities was present at several sites, potentially masking some signals. However, belugas were successfully detected at multiple locations. Detections were relatively common in the upper inlet and less common or absent at middle and lower inlet locations. Killer whale signals were also recorded. Some seasonal variability in the occurrence of both belugas and killer whales was evident.

Beluga Whale

Beluga

Mooring

Aerial Survey

10.1121/1.4816575

Cite

Citations (28)

Acoustic classification of dolphins in the California Current using whistles, echolocation clicks, and burst pulses

Marine Mammal Science (2016)

Shannon Rankin Frederick I. Archer Jennifer L. Keating Julie N. Oswald Michael Oswald

Abstract Passive acoustic monitoring of dolphins is limited by our ability to classify calls to species. Significant overlap in call characteristics among many species, combined with a wide range of call types and acoustic behavior, makes classification of calls to species challenging. Here, we introduce BANTER , a compound acoustic classification method for dolphins that utilizes information from all call types produced by dolphins rather than a single call type, as has been typical for acoustic classifiers. Output from the passive acoustic monitoring software, PAMG uard, was used to create independent classifiers for whistles, echolocation clicks, and burst pulses, which were then merged into a final, compound classifier for each species. Classifiers for five species found in the California Current ecosystem were trained and tested using 153 single‐species acoustic events recorded during a 4.5 mo combined visual and acoustic shipboard cetacean survey off the west coast of the United States. Correct classification scores for individual species ranged from 71% to 92%, with an overall correct classification score of 84% for all five species. The conceptual framework of this approach easily lends itself to other species and study areas as well as to noncetacean taxa.

Human echolocation

Bioacoustics

10.1111/mms.12381

Cite

Citations (50)