Feb. 29, 2024, 5:42 a.m. | Davide CarbonePolitecnico di Torino, Istituto Nazionale di Fisica Nucleare Sezione di Torino, Alessandro LicciardiPolitecnico di Torino, Istituto Nazi

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.17775v1 Announce Type: cross
Abstract: Marine mammal communication is a complex field, hindered by the diversity of vocalizations and environmental factors. The Watkins Marine Mammal Sound Database (WMMD) is an extensive labeled dataset used in machine learning applications. However, the methods for data preparation, preprocessing, and classification found in the literature are quite disparate. This study first focuses on a brief review of the state-of-the-art benchmarks on the dataset, with an emphasis on clarifying data preparation and preprocessing methods. Subsequently, …

abstract application applications arxiv classification communication cs.ai cs.cv cs.lg cs.sd data database data preparation dataset diversity eess.as eess.sp environmental found machine machine learning machine learning applications marine sound type wavelet

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