Title :
Detection of anuran calling activity in long field recordings for bio-acoustic monitoring
Author :
Jie Xie ; Towsey, Michael ; Yasumiba, Kiyomi ; Jinglan Zhang ; Roe, Paul
Author_Institution :
Fac. of Sci. & Technol., Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
This paper presents a system to analyze long field recordings with low signal-to-noise ratio (SNR) for bio-acoustic monitoring. A method based on spectral peak track, Shannon entropy, harmonic structure and oscillation structure is proposed to automatically detect anuran (frog) calling activity. Gaussian mixture model (GMM) is introduced for modelling those features. Four anuran species widespread in Queensland, Australia, are selected to evaluate the proposed system. A visualization method based on extracted indices is employed for detection of anuran calling activity which achieves high accuracy.
Keywords :
Gaussian processes; acoustic signal processing; bioacoustics; biology computing; entropy; feature extraction; harmonic analysis; mixture models; oscillations; GMM; Gaussian mixture model; Shannon entropy; anuran calling activity detection; anuran species; bio-acoustic monitoring; extracted indices; harmonic structure; long field recordings; oscillation structure; signal-to-noise ratio; spectral peak track; visualization method; Entropy; Feature extraction; Harmonic analysis; Indexes; Meteorology; Monitoring; Spectrogram;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-8054-3
DOI :
10.1109/ISSNIP.2015.7106925
