scholarly journals Diving behavior of Cuvier's beaked whales inferred from three-dimensional acoustic localization and tracking using a nested array of drifting hydrophone recorders

2018 ◽  
Vol 144 (4) ◽  
pp. 2030-2041 ◽  
Author(s):  
Jay Barlow ◽  
Emily T. Griffiths ◽  
Holger Klinck ◽  
Danielle V. Harris
Keyword(s):  
Three Dimensional ◽  
Diving Behavior ◽  
Acoustic Localization ◽  
Beaked Whales ◽  
Localization And Tracking

Passive acoustic localization and tracking using synthetic data for the Northern Gulf of Mexico

2017 ◽  
Vol 142 (4) ◽  
pp. 2586-2586
Author(s):  
Britt J. Aguda ◽  
Kirk D. Bienvenu ◽  
Bradley J. Sciacca ◽  
Joshua Veillon ◽  
SydniCherise O. Austin ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Synthetic Data ◽  
Acoustic Localization ◽  
Northern Gulf Of Mexico ◽  
Passive Acoustic ◽  
Localization And Tracking

Asynchronous Acoustic Localization and Tracking for Mobile Targets

2020 ◽  
Vol 7 (2) ◽  
pp. 830-845 ◽  
Author(s):  
Chao Cai ◽  
Rong Zheng ◽  
Jun Li ◽  
Linwei Zhu ◽  
Henglin Pu ◽  
...  
Keyword(s):  
Acoustic Localization ◽  
Mobile Targets ◽  
Localization And Tracking

scholarly journals Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3418 ◽  
Author(s):  
Juan Vera-Diaz ◽  
Daniel Pizarro ◽  
Javier Macias-Guarasa
Keyword(s):  
Three Dimensional ◽  
Synthetic Data ◽  
Audio Signal ◽  
Real Data ◽  
Audio Signals ◽  
Acoustic Source ◽  
Acoustic Localization ◽  
Training Strategy ◽  
Audio Features ◽  
Novel Approach

This paper presents a novel approach for indoor acoustic source localization using microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed solution, the CNN is designed to directly estimate the three-dimensional position of a single acoustic source using the raw audio signal as the input information and avoiding the use of hand-crafted audio features. Given the limited amount of available localization data, we propose, in this paper, a training strategy based on two steps. We first train our network using semi-synthetic data generated from close talk speech recordings. We simulate the time delays and distortion suffered in the signal that propagate from the source to the array of microphones. We then fine tune this network using a small amount of real data. Our experimental results, evaluated on a publicly available dataset recorded in a real room, show that this approach is able to produce networks that significantly improve existing localization methods based on SRP-PHAT strategies and also those presented in very recent proposals based on Convolutional Recurrent Neural Networks (CRNN). In addition, our experiments show that the performance of our CNN method does not show a relevant dependency on the speaker’s gender, nor on the size of the signal window being used.

Three-Dimensional Super-Localization and Tracking of Single Gold Nanoparticles in Cells

2012 ◽  
Vol 84 (9) ◽  
pp. 4111-4117 ◽  
Author(s):  
Yan Gu ◽  
Xiaowei Di ◽  
Wei Sun ◽  
Gufeng Wang ◽  
Ning Fang
Keyword(s):  
Gold Nanoparticles ◽  
Three Dimensional ◽  
Localization And Tracking ◽  
In Cells

scholarly journals New beaked whales from the late Miocene of Peru and evidence for convergent evolution in stem and crown Ziphiidae (Cetacea, Odontoceti)

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2479 ◽  
Author(s):  
Giovanni Bianucci ◽  
Claudio Di Celma ◽  
Mario Urbina ◽  
Olivier Lambert
Keyword(s):  
Body Size ◽  
Late Miocene ◽  
Natural Habitat ◽  
Large Body ◽  
Diving Behavior ◽  
Species Number ◽  
Facial Morphology ◽  
Deep Diving ◽  
Southeastern Pacific ◽  
Beaked Whales

The Ziphiidae (beaked whales) represent a large group of open-ocean odontocetes (toothed cetaceans), whose elusive and deep diving behavior prevents direct observation in their natural habitat. Despite their generally large body size, broad geographical distribution, and high species number, ziphiids thus remain poorly known. Furthermore, the evolutionary processes that have led to their extreme adaptations and impressive extant diversity are still poorly understood. Here we report new fossil beaked whales from the late Miocene of the Pisco Formation (southern Peru). The best preserved remains here described are referred to two new genera and species, the MessinianChavinziphius maxillocristatusand the TortonianChimuziphius coloradensis, based on skull remains from two marine vertebrate-rich localities: Cerro Los Quesos and Cerro Colorado, respectively.C. maxillocristatusis medium sized retains a complete set of functional lower teeth, and bears robust rostral maxillary crests similar to those of the extantBerardius. By contrast,C. coloradensisis small and characterized by large triangular nasals and moderately thickened premaxillae that dorsally close the mesorostral groove. Both species confirm the high past diversity of Ziphiidae, the richest cetacean family in terms of the number of genera and species. Our new phylogenetic and biogeographical analyses depart markedly from earlier studies in dividing beaked whales into two major clades: theMessapicetusclade, which, along with other stem ziphiids, once dominated the southeastern Pacific and North Atlantic; and crown Ziphiidae, the majority of which are found in deep-water regions of the Southern Ocean, with possible subsequent dispersal both globally (MesoplodonandZiphius) and to the cooler waters of the northern oceans (BerardiusandHyperoodon). Despite this relatively clear separation, both lineages seem to follow similar evolutionary trends, including (1) a progressive reduction of dentition; (2) an increase in the compactness and thickness of the rostral bones; (3) similar changes in facial morphology (e.g., elevation of the vertex); and (4) an increase of body size. We suggest that these trends may be linked to a convergent ecological shift to deep diving and suction feeding.

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