Bird call characterization using music networks

Authors

Ma. Christina Jamerlan National Institute of Physics, University of the Philippines Diliman
Josephine Jill Cabatbat National Institute of Physics, University of the Philippines Diliman
Ranzivelle Marianne Roxas-Villanueva Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Giovanni Tapang National Institute of Physics, University of the Philippines Diliman

Abstract

We create music networks for 305 different bird calls using actual recordings converted to MIDI format. The notes are used as nodes and the adjacent notes are connected via network edges. We characterize the networks using the following network attributes: number of nodes, number of edges, average clustering coefficient, density, and average shortest path. The bird networks were determined to be small-world networks, and the motifs occurring in them were listed and ranked according to the number of occurrences.

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Issue

2013: Proceedings of the 31st Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP2013-PB-3

Section

Poster Session PB

Published

2013-10-23

How to Cite

[1]

MC Jamerlan, JJ Cabatbat, RM Roxas-Villanueva, and G Tapang, Bird call characterization using music networks, Proceedings of the Samahang Pisika ng Pilipinas 31, SPP2013-PB-3 (2013). URL: https://proceedings.spp-online.org/article/view/SPP2013-PB-3.