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AviaNZ Birdsong Analysis Program

You can download and use AviaNZ for free. AviaNZ program is designed to achieve these goals:

- simple and rapid annotation of recordings

- denoising and automated call detection

- training procedure by which the user can prepare their own filters to recognise individual species

- run in batch mode, automatically processing folders of field recordings

- present the outputs in away that enables the user to quickly and effectively review

- outputs in a variety of spreadsheets to enable different statistical analyses to be performed

AviaNZ  

User Manual

Last update: 24 Oct2018

 
 
Windows  Download AviaNZ v1.3
Mac & Linux Download code
  Instructions


Cheat Sheet
 with spectrogram examples

 

Publications

Automated birdsong recognition in complex acoustic environments: a review
Priyadarshani, N. , Marsland, S. and Castro, I. (2018), Automated birdsong recognition in complex acoustic environments: a review. J Avian Biol, 49: jav-01447. doi:10.1111/jav.01447 
 
The impact of environmental factors in birdsong acquisition using automated recorders
Priyadarshani N, Castro I, Marsland S. (2018), The impact of environmental factors in birdsong acquisition using automated recorders. Ecol Evol. 2018;8:5016–5033. doi.org/10.1002/ece3.3889
 
Birdsong Denoising Using Wavelets
Priyadarshani N, Marsland S, Castro I, Punchihewa A (2016) Birdsong Denoising Using Wavelets. PLoS ONE 11(1): e0146790. doi.org/10.1371/journal.pone.0146790
Related image  Denoised examples and source code
 
Experimental test of birdcall detection by autonomous recorder units and by human observers using broadcast
Isabel Castro, Alberto De Rosa, Nirosha Priyashardani, Leanne Bradbury and Stephen Marsland (2018), Experimental test of birdcall detection by autonomous recorder units and by human observers using broadcast. Ecology and Evolution [accepted for publication]