@article {53316,
	title = {Deep learning for ethoacoustical mapping: Application to a single Cachalot long term recording on joint observatories in Vancouver Island},
	journal = {The Journal of the Acoustical Society of America},
	volume = {144},
	year = {2018},
	month = {Jan-09-2018},
	pages = {1776 - 1777},
	abstract = {<p>During February and March, 2018, a lone sperm whale known as Yukusam was recorded first by Orcalab in Johnstone Strait and subsequently on multiple hydrophones within the Salish Sea [1]. We learn and denoise these multichannel clicks trains with AutoEncoders Convolutional Neural Net (CNN). Then, we build a map of the echolocations to elucidate variations in the acoustic behavior of this unique animal over time, in different environments and distinct levels of boat noise. If CNN approximates an optimal kernel decomposition, it requires large amounts of data. Via spline functionals we offer analytics kernels with learnable coefficients do reduce it. We [1-3] identify the analytical mother wavelet to represent the input signal to directly learn the wavelet support from scratch by gradient descend on the parameters of cubic splines [2]. Supplemental material http://sabiod.org/yukusam [1] Balestriero, Roger, Glotin, Baraniuk, Semi-Supervised Learning via New Deep Network Inversion, arXiv preprint arXiv:1711.04313, 2017 [2] Balestriero, Cosentino, Glotin, Baraniuk, WaveletNet : Spline Filters for End-to-End Deep Learning, Int. Conf. on MachineLearning, ICML, Stockholm, http://sabiod.org/bib, 2018 [3] Spong P., Symonds H., et al., Joint Observatories Following a Single male Cachalot during 12 weeks\&mdash;The Yukusam story, ASA 2018.</p>
},
	issn = {0001-4966},
	doi = {10.1121/1.5067855},
	url = {http://asa.scitation.org/doi/10.1121/1.5067855},
	author = {Glotin, Herv{\'e} and Spong, Paul and Symonds, Helena and Roger, Vincent and Balestriero, Randall and Ferrari, Maxence and Poupard, Marion and Towers, Jared and Veirs, Scott and Marxer, Ricard and Giraudet, Pascale and James Pilkinton and Veirs, Val and Wood, Jason and Ford, John and Dakin, Thomas}
}
@article {53312,
	title = {Joint observatories following a single male Cachalot during 12 weeks {\textemdash}The Yukusam story},
	journal = {The Journal of the Acoustical Society of America},
	volume = {144},
	year = {2018},
	month = {Jan-09-2018},
	pages = {1958 - 1958},
	abstract = {<p>From 11 February to 31 March 2018, a lone male sperm whale visited coastal waters from the northeast to southern ends of Vancouver Island. This whale, named \&quot;Yukusam\&quot; after the Namgis First Nation word for Hanson Island, near where the whale was first observed and recorded, is the first sperm whale recorded acoustically in the area since 1984 and is the only sperm whale ever observed in coastal waters between Vancouver Island and continental North America. The Yukusam tracking story is a showcase for the potential of acoustic observatory collaborations. Tracking a single animal over such time and distance is remarkable. It obviously helped that Yukusam was the only sperm whale in the area, but still, the experience hints at the potential for using diverse independent observatories collaboratively. We then aim to see all the observatories running automated detection classification and location software and having all the data tied in to a public database for a total of almost 500 Gb of recordings, with labels. Supplemental material @ http://sabiod.org/yukusam</p>
},
	issn = {0001-4966},
	doi = {10.1121/1.5068557},
	url = {http://asa.scitation.org/doi/10.1121/1.5068557},
	author = {Spong, Paul and Symonds, Helena and Glotin, Herv{\'e} and Towers, Jared and Lisa Larsson and Dakin, Thomas and Veirs, Scott and Zwamborn, Elizabeth and James Pilkinton and Giraudet, Pascale and Veirs, Val and Wood, Jason and Ford, John}
}
