An overview of fixed passive acoustic observation methods for cetaceans

DK Mellinger, KM Stafford, SE Moore, RP Dziak… - Oceanography, 2007 - JSTOR
METHODS Fixed passive acoustic surveys require several steps, including survey design,
placement and sometimes recovery of recording instruments, extraction of vocalizations of …

A survey of spectrogram track detection algorithms

TA Lampert, SEM O'Keefe - Applied acoustics, 2010 - Elsevier
The detection of tracks in spectrograms is an important step in remote sensing applications
such as the analysis of marine mammal calls and remote sensing data in underwater …

A generalized baleen whale call detection and classification system

MF Baumgartner, SE Mussoline - The Journal of the Acoustical Society …, 2011 - pubs.aip.org
Passive acoustic monitoring allows the assessment of marine mammal occurrence and
distribution at greater temporal and spatial scales than is now possible with traditional visual …

Automatic detection and classification of odontocete whistles

D Gillespie, M Caillat, J Gordon, P White - The Journal of the …, 2013 - pubs.aip.org
Methods for the fully automatic detection and species classification of odontocete whistles
are described. The detector applies a number of noise cancellation techniques to a …

Whistle detection and classification for whales based on convolutional neural networks

J Jiang, L Bu, F Duan, X Wang, W Liu, Z Sun, C Li - Applied Acoustics, 2019 - Elsevier
Passive acoustic observation of whales is an increasingly important tool for whale research.
Accurately detecting whale sounds and correctly classifying them into corresponding whale …

North Atlantic right whale shift to the Gulf of St. Lawrence in 2015, revealed by long-term passive acoustics

Y Simard, N Roy, S Giard, F Aulanier - Endangered Species Research, 2019 - int-res.com
This paper contributes to documenting a change in the distribution of North Atlantic right
whales Eubalaena glacialis (NARWs) that occurred in the 2010s, when the whales largely …

Deep neural networks for automated detection of marine mammal species

Y Shiu, KJ Palmer, MA Roch, E Fleishman, X Liu… - Scientific reports, 2020 - nature.com
Deep neural networks have advanced the field of detection and classification and allowed
for effective identification of signals in challenging data sets. Numerous time-critical …

Classification of echolocation clicks from odontocetes in the Southern California Bight

MA Roch, H Klinck, S Baumann-Pickering… - The Journal of the …, 2011 - pubs.aip.org
This study presents a system for classifying echolocation clicks of six species of odontocetes
in the Southern California Bight: Visually confirmed bottlenose dolphins, short-and long …

Performance of a deep neural network at detecting North Atlantic right whale upcalls

OS Kirsebom, F Frazao, Y Simard, N Roy… - The Journal of the …, 2020 - pubs.aip.org
Passive acoustics provides a powerful tool for monitoring the endangered North Atlantic
right whale (Eubalaena glacialis), but robust detection algorithms are needed to handle …

A method for detecting whistles, moans, and other frequency contour sounds

DK Mellinger, SW Martin, RP Morrissey… - The Journal of the …, 2011 - pubs.aip.org
An algorithm is presented for the detection of frequency contour sounds—whistles of
dolphins and many other odontocetes, moans of baleen whales, chirps of birds, and …