Generative AI-based data augmentation for improved bioacoustic classification in noisy environments

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Bibliografski detalji
Izdano u:	arXiv.org (Dec 2, 2024), p. n/a
Glavni autor:	Gibbons, Anthony
Daljnji autori:	King, Emma, Donohue, Ian, Parnell, Andrew
Izdano:	Cornell University Library, arXiv.org
Teme:	Background noise Probabilistic models Data augmentation Accuracy Wind power Land use Wind farms Spectrograms Generative artificial intelligence Classification Generative adversarial networks Wind turbines Audio data Species classification Machine learning Synthetic data
Online pristup:	Citation/Abstract Full text outside of ProQuest
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