@article{efd62d7315424a3ebb6b236d9990ffdb,
title = "Sounds of the deep:: How input representation, model choice, and dataset size influence underwater sound classification performance",
keywords = "deep neural networks, channel energy, convolutional neural network, data set size, energy normalization, model choice, representation model, sound classification, spectrograms, training data, underwater sound, article, background noise, classification, classifier, click, controlled study, diagnosis, human, male, marine environment, pharmaceutics, residual neural network, Scotland, sound, acoustic generators",
author = "Abdullah Olcay and White, \{Paul R.\} and Bull, \{Jonathan M.\} and Denise Risch and Benedict Dell and White, \{Ellen L.\}",
note = "{\textcopyright} 2025 Acoustical Society of America",
year = "2025",
month = apr,
day = "1",
doi = "10.1121/10.0036498",
language = "English",
volume = "157",
pages = "3017--3032",
journal = "The Journal of the Acoustical Society of America",
issn = "0001-4966",
publisher = "Acoustical Society of America",
number = "4",
}