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All Journal Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Majalah Ilmiah Biologi BIOSFERA: A Scientific Journal
A. Hadi Mahmud
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Environmental Science

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Prospek Pengembangan Metode Identifikasi Spesies Burung berdasarkan Spektrum Suara menggunakan Analisis Spektogram Irwandi Irwandi; Marwan Marwan; A. Hadi Mahmud; Abdullah Abdullah
Biota : Jurnal Ilmiah Ilmu-Ilmu Hayati Vol 10, No 2 (2005): June 2005
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/biota.v10i2.2841

Abstract

Bird species can be identified using bird’s sound. Research about sound bird identification is lacking in Indonesia. This research is initial study to classify bird based on sound and its spectrum. The research was done in Laboratory of Animal Anatomy to record bird sample sound and Laboratory of Computation Physics for data analysis. This research used five recorded sound birds, i.e. Blue-Crowned (Loriculus galgulus), Greater Green (Chloropsis sonnerati), Black-Crested (Pycnonotus melanicterus), Long-Tailed (Lanius schach), and Asian Pied Starling (Sturnus contra). Identification of bird sound spectrum has been done using Fast Fourier Transform (FFT) method. Bird sounds and spectral that plotted in time-domain and in frequency-domain, were indicated unique pattern lead to bird identification method. The result showed that five birds recorded had different sound characteristics, both in time domain and sound spectrum frequency domain. The sound spectrum identification method can be used as initial step toward bird species classification called sono-taxonomy.
Upaya Pemanfaatan Rekaman Suara Burung dan Analisis Spektrogram untuk Menyusun Metode Klasifikasi Berdasarkan Suara (Sonotaksonomi) Marwan Irwandi; A. Hadi Mahmud; Abdulah Abdulah
Majalah Ilmiah Biologi BIOSFERA: A Scientific Journal Vol 22, No 1 (2005)
Publisher : Fakultas Biologi | Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mib.2005.22.1.79

Abstract

This research explores possibility to classify bird species based on it sound.  Sound data (time-domain) plotting and its spectrum (frequency domain) are used to identify five kind of bird consist of Loriculus galgulus, Chloropsis sonnerati, Pycnonotus melanicterus, Lanius schach, and Sturnus contra.  There are indications that exist of equality sound parameter from the samples such as number of element, number of peak spectrum, dominant frequency and maximum frequency. This result open the possibility to develop method of bird species classification based on bird sound (sono-taxonomy).
Co-Authors Abdulah abdulah Abdullah Abdullah Marwan Irwandi Marwan Marwan TATI NURHAYATI