Reconhecimento Automático de Aves da Família Tinamidae Através da Vocalização
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Data
2012-04-11
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Universidade Federal de Goiás
Resumo
This work presents a comprehensive approach to develop a system for recognizing birds
by vocalization. The approach specifically addresses the recognition of birds of the Tinamidae
family proposing the analysis of data related to the frequency and song of the bird and also
classifying and determining the species of bird. The study differs from related research primarily
for performing the pre-processing stage automatically. This stage determines the following
characteristics: the minimum, the maximum and the stronger frequencies. It s still made a segmentation
of the bird singing in periods of sound and silence. The time of singing is also used
as a characteristic peculiar to each species analyzed. For the automatic determination of the
characteristics of the frequency and song of the bird, an analysis of the power spectral density
was made for each time period specified in the frequency using the spectrogram of the song.
The recognition and classification technique adopted was the nearest neighbor, using Euclidean
distance normalized by the standard deviation. The accuracy of the technique used was 94.12%.
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CONCEIÇÃO, Paulo Francisco da. Reconhecimento Automático de Aves da Família Tinamidae
Através da Vocalização. 2012. 65 f. Dissertação (Mestrado em Engenharia) - Universidade Federal de Goiás, Goiânia, 2012.