Artículos de revistas
Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations
Fecha
2016-09-21Registro en:
Plos One. San Francisco: Public Library Science, v. 11, n. 9, 14 p., 2016.
1932-6203
10.1371/journal.pone.0163041
WOS:000383892700036
WOS000383892700036.pdf
Autor
Univ Fed Rio Grande do Norte
Universidade Estadual Paulista (Unesp)
Univ Fortaleza
Institución
Resumen
Automatic classification of vocalization type could potentially become a useful tool for acoustic the monitoring of captive colonies of highly vocal primates. However, for classification to be useful in practice, a reliable algorithm that can be successfully trained on small datasets is necessary. In this work, we consider seven different classification algorithms with the goal of finding a robust classifier that can be successfully trained on small datasets. We found good classification performance (accuracy > 0.83 and F-1-score > 0.84) using the Optimum Path Forest classifier. Dataset and algorithms are made publicly available.