Resources

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

 

		Windows, Mac & Linux versions available
		User Manual	|	Download AviaNZ v1.5.1	|	Download code	|	Instructions
		Last update: 09 Aug 2019

 

Spectrogram cheat sheet

You can find spectrogram examples from New Zealand bird species here. We also provide examples of other environmental sounds that are common in automated field recordings. The purpose is to help you read spectrograms and identify species in your field recordings correctly.

 

Publications

AVIANZ: A future‐proofed program for annotation and recognition of animal sounds in long‐time field recordings
Marsland, S, Priyadarshani, N, Juodakis, J, Castro, I. (2019), AVIANZ: A future‐proofed program for annotation and recognition of animal sounds in long‐time field recordings. Methods Ecol Evol. 2019; 00: 1– 7; doi:10.1111/2041-210X.13213 [pdf] [data]

Experimental test of birdcall detection by autonomous recorder units and by human observers using broadcast
Castro, I., De Rosa, A., Priyadarshani, N., Bradbury, L. and Marsland, S. (2019), Experimental test of birdcall detection by autonomous recorder units and by human observers using broadcast. Ecol Evol. 2019;00:1–22. https://doi.org/10.1002/ece3.4775 Ecol Evol. 2019;00:1–22. https://doi.org/10.1002/ece3.4775

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
Denoised examples and source code