Model-based automated detection of echolocation calls using the link detector.
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[2] S. Parsons,et al. Acoustic identification of twelve species of echolocating bat by discriminant function analysis and artificial neural networks. , 2000, The Journal of experimental biology.
[3] Henry E. Bass,et al. Atmospheric absorption of sound: Update , 1990 .
[4] M. Obrist,et al. Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach , 2004 .
[5] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[6] R. E. Bethel,et al. Optimum time delay detection and tracking , 1990 .
[7] R. Müller,et al. Noseleaf furrows in a horseshoe bat act as resonance cavities shaping the biosonar beam. , 2006, Physical review letters.
[8] Bengt-Inge Dalenbäck. Room acoustic prediction based on a unified treatment of diffuse and specular reflection , 1996 .
[9] James A. Simmons,et al. The structure of echolocation sounds used by the big brown bat Eptesicus fuscus : some consequences for echo processing , 1991 .
[10] Stuart Parsons,et al. Echolocation Calls and Wing Morphology of Bats from the West Indies , 2004 .
[11] Mark D Skowronski,et al. Model-based detection of synthetic bat echolocation calls using an energy threshold detector for initialization. , 2008, The Journal of the Acoustical Society of America.
[12] Mark D Skowronski,et al. Acoustic detection and classification of Microchiroptera using machine learning: lessons learned from automatic speech recognition. , 2006, The Journal of the Acoustical Society of America.