2017
DOI: 10.1371/journal.pcbi.1005823
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Automated classification of dolphin echolocation click types from the Gulf of Mexico

Abstract: Delphinids produce large numbers of short duration, broadband echolocation clicks which may be useful for species classification in passive acoustic monitoring efforts. A challenge in echolocation click classification is to overcome the many sources of variability to recognize underlying patterns across many detections. An automated unsupervised network-based classification method was developed to simulate the approach a human analyst uses when categorizing click types: Clusters of similar clicks were identifi… Show more

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Cited by 55 publications
(65 citation statements)
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References 41 publications
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“…Where there are increased broadband detections at the offshore locations, the data warrant further investigation, but classification is not possible. These areas would benefit from either increased visual survey effort or more advanced acoustic techniques that have recently shown promise in discriminating between common and bottlenose dolphins (Frasier et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Where there are increased broadband detections at the offshore locations, the data warrant further investigation, but classification is not possible. These areas would benefit from either increased visual survey effort or more advanced acoustic techniques that have recently shown promise in discriminating between common and bottlenose dolphins (Frasier et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…These areas would benefit from either increased visual survey effort or more advanced acoustic techniques that have recently shown promise in discriminating between common and bottlenose dolphins (Frasier et al, 2017). Where there are increased broadband detections at the offshore locations, the data warrant further investigation, but classification is not possible.…”
Section: Figurementioning
confidence: 99%
“…Click detection. Clicks were automatically detected from each chosen click train using an energy detector to identify impulse signals [43]. Click trains were first divided into several 5 ms segments.…”
Section: Data Analysesmentioning
confidence: 99%
“…Another alternative for investigating timing is by looking at the intervals between consecutive events, or IEI [85][86][87] .…”
Section: Rhythm As Temporal Hierarchy In Human and Non-human Vocalizamentioning
confidence: 99%