A survey of underwater acoustic target recognition methods based on machine learning

X Luo, L Chen, H Zhou, H Cao - Journal of Marine Science and …, 2023 - mdpi.com
Underwater acoustic target recognition (UATR) technology has been implemented widely in
the fields of marine biodiversity detection, marine search and rescue, and seabed mapping …

ShipsEar: An underwater vessel noise database

D Santos-Domínguez, S Torres-Guijarro… - Applied Acoustics, 2016 - Elsevier
There is a manifest shortage of audio databases available to underwater acoustics
researchers. With the aim of palliating this situation, ShipsEar, a database of underwater …

Underwater acoustic target recognition: A combination of multi-dimensional fusion features and modified deep neural network

X Wang, A Liu, Y Zhang, F Xue - Remote Sensing, 2019 - mdpi.com
A method with a combination of multi-dimensional fusion features and a modified deep
neural network (MFF-MDNN) is proposed to recognize underwater acoustic targets in this …

Review of automatic detection and classification techniques for cetacean vocalization

AM Usman, OO Ogundile, DJJ Versfeld - Ieee Access, 2020 - ieeexplore.ieee.org
Cetaceans have elicited the attention of researchers in recent decades due to their
importance to the ecosystem and their economic values. They use sound for communication …

Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers

N Phaniraj, K Wierucka, Y Zürcher… - Journal of the Royal …, 2023 - royalsocietypublishing.org
With their highly social nature and complex vocal communication system, marmosets are
important models for comparative studies of vocal communication and, eventually, language …

Detection of baleen whale species using kernel dynamic mode decomposition-based feature extraction with a hidden Markov model

AM Usman, DJJ Versfeld - Ecological Informatics, 2022 - Elsevier
The negative effects of human activities within the ecological space of whales remains an
issue of concern to marine ecologists. The accurate detection and subsequent classification …

[HTML][HTML] Wavelet-based feature extraction with hidden Markov model classification of Antarctic blue whale sounds

OP Babalola, J Versfeld - Ecological Informatics, 2024 - Elsevier
An approach for analyzing blue whale vocalizations in continuous acoustic recordings using
wavelet transform (WT) algorithm as a feature extraction method is proposed in this study …

Seasonal variation of captive meagre acoustic signalling: a manual and automatic recognition approach

M Vieira, BP Pereira, P Pousão-Ferreira, PJ Fonseca… - Fishes, 2019 - mdpi.com
Many species rely on acoustic communication to fulfil several functions such as
advertisement and mediation of social interactions (eg, agonistic, mating). Therefore, fish …

Automatic classification of whistles from coastal dolphins of the southern African subregion

F Erbs, SH Elwen, T Gridley - The Journal of the Acoustical Society of …, 2017 - pubs.aip.org
Passive acoustic monitoring (PAM) is commonly used to generate information on the
distribution, abundance, and behavior of cetacean species. In African waters, the utilization …

Integrative bioacoustics discrimination of eight delphinid species in the western South Atlantic Ocean

TO Simões Amorim, F Rezende de Castro… - PLoS …, 2019 - journals.plos.org
This study presents an integrative bioacoustics approach to discriminate eight species of
odontocetes found on the outer continental shelf and slope of the western South Atlantic …