[MARMAM] new publication: On the reliability of acoustic annotations and automatic detections of Antarctic blue whale calls under different acoustic conditions

Emmanuelle Leroy Emmanuelle.Leroy at univ-brest.fr
Sun Aug 19 19:47:09 PDT 2018


Dear all,

We are pleased to announce the publication of the article "On the
reliability of acoustic annotations and automatic detections of Antarctic
blue whale calls under different acoustic conditions" in JASA, available
at: https://doi.org/10.1121/1.5049803

abstract: 
Evaluation of the performance of computer-based algorithms to automatically
detect mammalian vocalizations often relies on comparisons between detector
outputs and a reference data set, generally obtained by manual annotation
of acoustic recordings. To explore the reproducibility of these
annotations, inter- and intra-analyst variability in manually annotated
Antarctic blue whale (ABW) Z-calls are investigated by two analysts in
acoustic data from two ocean basins representing different scenarios in
terms of call abundance and background noise. Manual annotations exhibit
strong inter- and intra analyst variability, with less than 50% agreement
between analysts. This variability is mainly caused by the difficulty of
reliably and reproducibly distinguishing single calls in an ABW chorus made
of overlaying distant calls. Furthermore, the performance of two automated
detectors, based on spectrogram correlation or subspace-detection strategy,
is evaluated by comparing detector output to a “conservative” manually
annotated reference data set, which comprises only analysts’ matching
events. This study highlights the need for a standardized approach for
human annotations and automatic detections, including a quantitative
description of their performance, to improve the comparability of acoustic
data, which is particularly relevant in the context of collaborative
approaches in collecting and analyzing large passive acoustic data sets.

Kind regards,
Emmanuelle C. Leroy, Ph.D.
email: emmanuelle.leroy at univ-brest.fr
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