ARTwarp

ARTwarp is a MATLAB-based programme for the automated categorisation of tonal animal sounds. It has been tested successfully [3] for bottlenose dolphin whistles and killer whale calls, but will be applicable to any sound that can be described by frequency contours.

The categorisation algorithm combines dynamic time-warping [1] to measure contour similarity with an Adaptive Resonance Theory (ART) neural network to group sounds into different categories. The programme provides categorisation details, as well as a reference contour representing the typical frequency shape of each category.

For further instructions on installing MATLAB and running the latest release of ARTwarp, see the ARTwarp Wiki: https://github.com/dolphin-acoustics-vip/artwarp/wiki

Resources

• Source code repository: https://github.com/dolphin-acoustics-vip/artwarp

• Issue tracker: https://github.com/dolphin-acoustics-vip/artwarp/issues

• Wiki: https://github.com/dolphin-acoustics-vip/artwarp/wiki

Authors

• Volker Deecke:

  • https://www.cumbria.ac.uk/study/academic-staff/all-staff-members/volker-deecke.php

• Vincent Janik:

  • http://www.smru.st-andrews.ac.uk/person/vj/

with contributions by

• Julie Oswald:

  • https://www.st-andrews.ac.uk/biology/people/jno

• Members of the Dolphin Acoustics Vertically Integrated Project at the University of St Andrews:

  • https://dolphinacoustics.wp.st-andrews.ac.uk

• Wendi Fellner

License

ARTwarp is distributed under the terms of the GNU Lesser General Public License, version 3, as published by the Free Software Foundation. For details, please refer to the LICENSE file in the root directory of the ARTwarp distribution or see https://www.gnu.org/licenses/lgpl.

References

1. Buck, J. R. & Tyack, P. L. 1993. A quantitative measure of similarity for Tursiops truncatus signature whistles. Journal of the Acoustical Society of America, 94, 2497-2506. https://doi.org/10.1121/1.407385

2. Deecke, V. B., Ford, J. K. B. & Spong, P. 1999. Quantifying complex patterns of bioacoustic variation: Use of a neural network to compare killer whale (Orcinus orca) dialects. Journal of the Acoustical Society of America, 105, 2499-2507. https://doi.org/10.1121/1.426853

3. Deecke, V. B. & Janik, V. M. 2006. Automated categorization of bioacoustic signals: Avoiding perceptual pitfalls. Journal of the Acoustical Society of America, 119, 645-653. https://doi.org/10.1121/1.2139067