Marie A. Roch

San Diego State University — United States

Environmental Science · Physical Sciences

25h-index2.3kcitations121works1.32yr avg
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Research Topics

Marine animal studies overview(75), Underwater Acoustics Research(70), Animal Vocal Communication and Behavior(42), Speech and Audio Processing(18), Music and Audio Processing(17)

Publications121 total

animal2vec and <scp>MeerKAT:</scp> A self‐supervised transformer for rare‐event raw audio input and a large‐scale reference dataset for bioacoustics
Methods in Ecology and Evolution·2025· 1 citedOpen Access
Automating time $$\times$$ frequency annotations of delphinid whistles by adapting a foundational transformer neural network
Scientific Reports·2025Open Access
Bioacoustic fundamental frequency estimation: a cross-species dataset and deep learning baseline
Bioacoustics·2025Open Access
SAM-Whistle: Adapting Foundation Models for Automated Dolphin Whistle Detection
2025Open Access
Behavioral sequences across multiple animal species in the wild share common structural features
Proceedings of the National Academy of Sciences·2025· 3 citedOpen Access
Spanning the career stages--A conversation about work in bioacoustics
The Journal of the Acoustical Society of America·2024
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
arXiv (Cornell University)·2024Open Access
The past, present and future of underwater passive acoustic monitoring
The Journal of the Acoustical Society of America·2024· 4 cited
Navigating the bioacoustic landscape: Standardization and interoperability of acoustic data products
The Journal of the Acoustical Society of America·2024· 1 cited
Behavioral sequences across multiple animal species in the wild share common structural features
2024· 4 citedOpen Access
Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data
The Journal of the Acoustical Society of America·2023· 9 citedOpen Access
Ecological inferences about marine mammals from passive acoustic data
Biological reviews/Biological reviews of the Cambridge Philosophical Society·2023· 42 cited
Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms
IEEE Transactions on Multimedia·2023· 11 citedOpen Access
<i>Silbido profundo</i>: An open source package for the use of deep learning to detect odontocete whistles
The Journal of the Acoustical Society of America·2022· 5 citedOpen Access
Signalling in groups: New tools for the integration of animal communication and collective movement
Methods in Ecology and Evolution·2022· 39 citedOpen Access
A practical guide for generating unsupervised, spectrogram‐based latent space representations of animal vocalizations
Journal of Animal Ecology·2022· 32 citedOpen Access
Performance metrics for marine mammal signal detection and classification
The Journal of the Acoustical Society of America·2022· 25 citedOpen Access
A practical guide for generating unsupervised, spectrogram-based latent space representations of animal vocalizations
2021· 4 citedOpen Access
Author Correction: Deep neural networks for automated detection of marine mammal species
Scientific Reports·2021Open Access
Introduction to the special issue on machine learning in acoustics
The Journal of the Acoustical Society of America·2021· 26 citedOpen Access
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Frequent Co-authors

John A. Hildebrand(21), Holger Klinck(13), Simone Baumann‐Pickering(12), Sean M. Wiggins(11), Tyler A. Helble(10), Melissa S. Soldevilla(9), Eva‐Marie Nosal(8), Douglas Gillespie(8), Erica Fleishman(7), Danielle Cholewiak(7), Yu Shiu(6), Xiaobai Liu(6), David K. Mellinger(6), Erin M. Oleson(5), E. Elizabeth Henderson(4), Kaitlin E. Frasier(4), Gerald L. D’Spain(4), Ana Širović(4), Marta B. Manser(3), Kaitlin Palmer(3)