01482nas a2200145   4500008004100000245012100041210006900162520093700231100002201168700002201190700002001212700003001232700002301262856005101285       2019                        eng d00aDetection and identification of manatee individual vocalizations in Panamanian wetlands using spectrogram clustering0 aDetection and identification of manatee individual vocalizations3 a<p>This work presents a methodology to automatically detect and identify manatee vocalizations in continuous passive acoustic underwater recordings. Given that vocalizations of each manatee present a slightly different frequency content, it is possible to identify individuals using a non-invasive acoustic approach. The recordings are processed in four stages, including detection, denoising, classification, and manatee counting and identification by vocalization clustering. The main contribution of this work is considering the vocalization spectrogram as an image (i.e., two-dimensional pattern) and representing it in terms of principal component analysis coefficients that feed a clustering approach. A performance study is carried out for each stage of the scheme. The methodology is tested to analyze three years of recordings from two wetlands in Panama to support ongoing efforts to estimate the manatee population.</p>
1 aMerchan, Fernando1 aEchevers, Giacomo1 aPoveda, Héctor1 aSanchez-Galan, Javier, E.1 aGuzman, Hector, M.  uhttp://asa.scitation.org/doi/10.1121/1.5126504