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MatlabHTK: a simple interface for bioacoustic analyses using hidden Markov models
Author(s) -
Ranjard Louis,
Reed Benjamin S.,
Landers Todd J.,
Rayner Matt J.,
Friesen Megan R.,
Sagar Rachel L.,
Dunphy Brendon J.
Publication year - 2017
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.12688
Subject(s) - bioacoustics , hidden markov model , computer science , interface (matter) , software , set (abstract data type) , bottleneck , citizen science , workflow , graphical user interface , data mining , data science , artificial intelligence , biology , database , telecommunications , embedded system , programming language , botany , bubble , maximum bubble pressure method , parallel computing
Summary Passive bioacoustic recording devices are now widely available and able to continuously record remotely located sites for extended periods, offering great potential for wildlife monitoring and management. Analysis of the huge data sets generated, in particular for specific biotic sound recognition, remains a critical bottleneck for widespread adoption of these technologies as current methods are labour intensive. Several methods borrowed from speech processing frameworks, such as hidden Markov models, have been successful in analysing bioacoustic data, but the software implementations can be expensive and difficult to use for non‐specialists involved in wildlife conservation. To remedy this, we present a software interface to a popular speech recognition system making it possible for non‐experts to implement hidden Markov models for bioacoustic signal processing. Octave/Matlab functions are used to simplify the set‐up and the definition of a bioacoustic signal recogniser as well as the analysis of the results. We present the different functions as a workflow. To demonstrate how the package can be used, we give the results of an analysis of a bioacoustic monitoring data set to detect the nocturnal presence and behaviour of a cryptic seabird species, the common diving petrel Pelecanoides urinatrix urinatrix , from Northern New Zealand. We show that the package MatlabHTK can be used efficiently to reconstruct the daily patterns of colony activity in the common diving petrel.