Uniform Manifold Approximation and Projection for Clustering Taxa through Vocalizations in a Neotropical Passerine (Rough-Legged Tyrannulet Phyllomyias burmeisteri)

摘要

Recognizing the different species can help us better understand the nature. One way to differentiate bird species is the bird song. There are mathematical techniques that extract information from the bird songs, potentially allowing automatic differentiation of species. However, there is still a lack of techniques that use the extracted information and accurately differentiate individuals of different species. For the first time, we have used a technique called Uniform Manifold Approximation and Projection (UMAP) to identify the two taxonomic groups of a bird named Rough-legged Tyrannulet , which is a species that can be found all the way from Costa Rica to Argentina. Although there is evidence of the existence of two taxonomic groups, previous studies have shown them to be difficult to distinguish. We collected Rough-legged Tyrannulet bird songs of 101 birds from 11 countries. UMAP allowed us to make a transformation of the multiple measures obtained from the bird song of each bird into just two values. Plotting the UMAP values of each bird in a two-dimensional graph, it turns out that UMAP was able to clearly identify the two taxonomic groups, which has been named as Rough-legged Tyrannulet and White-fronted Tyrannulet . UMAP can potentially help the identification of other species difficult to classify.