Abstract
A possible solution for the current rate of animal extinction in the world is the use of new technologies in their monitoring in order to tackle problems in the reduction of their populations in a timely manner. In this work we present a system for the identification of the Turdus migratorius bird species based on their singing. The core of the system is based on turn-level features extracted from the audio signal of the bird songs. These features were adapted from the recognition of human emotion in speech, which are based on Support Vector Machines. The resulting system is a prototype module of acoustic identification of birds which goal is to monitor birds in their environment, and, in the future, estimate their populations.
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Villareal Olvera, T.E., Rascón, C., Meza Ruiz, I.V. (2013). Emotion Based Features of Bird Singing for Turdus migratorius Identification. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Soft Computing and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45111-9_45
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DOI: https://doi.org/10.1007/978-3-642-45111-9_45
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