ECOGEN: Bird sounds generation using deep learning

Abstract Large‐scale acoustic projects generate vast amounts of data that can now be efficiently processed using deep learning tools. However, these tools often face limitations due to sound labeling and imbalanced sampling. Data augmentation can help overcome such challenges, particularly through t...

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主要な著者:	Axel‐Christian Guei, Sylvain Christin, Nicolas Lecomte, Éric Hervet
フォーマット:	Artigo
言語:	Inglês
出版事項:	Wiley 2024-01-01
シリーズ:	Methods in Ecology and Evolution
主題:	bird songs computer vision deep learning sound generation sound processing variational autoencoders
オンライン･アクセス:	https://doi.org/10.1111/2041-210X.14239
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