@article {53231,
	title = {Diving behavior of Cuvier{\textquoteright}s beaked whales inferred from three-dimensional acoustic localization and tracking using a nested array of drifting hydrophone recorders},
	journal = {The Journal of the Acoustical Society of America},
	volume = {144},
	year = {2018},
	month = {Jan-10-2018},
	pages = {2030 - 2041},
	abstract = {<p>Echolocation pulses from Cuvier\&$\#$39;s beaked whales are used to track the whales\&$\#$39; three-dimensional diving behavior in the Catalina Basin, California. In 2016, five 2-element vertical hydrophone arrays were suspended from the surface and drifted at \&sim;100-m depth. Cuvier\&$\#$39;s beaked whale pulses were identified, and vertical detection angles were estimated from time-differences-of-arrival of either direct-path signals received on two hydrophones or direct-path and surface-reflected signals received on the same hydrophone. A Bayesian state-space model is developed to track the diving behavior. The model is fit to these detection angle estimates from at least four of the drifting vertical arrays. Results show that the beaked whales were producing echolocation pulses and are presumed to be foraging at a mean depth of 967\&thinsp;m (standard deviation = 112\&thinsp;m), approximately 300\&thinsp;m above the bottom in this basin. Some whales spent at least some time at or near the bottom. Average swim speed was 1.2\&thinsp;m s\&minus;1, but swim direction varied during a dive. The average net horizontal speed was 0.6\&thinsp;m s\&minus;1. Results are similar to those obtained from previous tagging studies of this species. These methods may allow expansion of dive studies to other whale species that are difficult to tag.</p>
},
	issn = {0001-4966},
	doi = {10.1121/1.5055216},
	url = {http://asa.scitation.org/doi/10.1121/1.5055216},
	author = {Barlow, Jay and Griffiths, Emily T. and Klinck, Holger}
}
@article {47322,
	title = {Acoustic classification of dolphins in the California Current using whistles, echolocation clicks, and burst pulses},
	journal = {Marine Mammal Science},
	year = {2016},
	month = {Jan-12-2016},
	abstract = {<p>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, PAMGuard, 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.</p>
},
	keywords = {acoustics, burst pulses, classification, delphinids, dolphins, echolocation clicks, whistles},
	doi = {10.1111/mms.12381},
	url = {http://doi.wiley.com/10.1111/mms.12381},
	author = {Rankin, Shannon and Archer, Frederick and Keating, Jennifer L. and Oswald, Julie N. and Oswald, Michael and Curtis, Alex and Barlow, Jay}
}
