Acoustic_Indices is a Python library to extract global acoustic indices from an audio file for use as a biodiversity proxy, within the framework of Ecoacoustics.

• Numpy
• Scipy
• Matlplotlib (for graphing)
• PyYAML (to read configuration file)

• Read WAV files (using scipy)

• Features extraction from Soundscape Ecology

  • Acoustic Complexity Index
  • Acoustic Diversity Index
  • Acoustic Evenness Index
  • Bioacoustic Index
  • Normalized Difference Sound Index
  • Spectral Entropy
  • Temporal Entropy
  • Number of Peaks
  • Wave Signal to Noise Ratio

• Spectral features extraction

  • Spectral centroid
  • Spectrogram
  • Noise removed spectrogram

• Temporal features extraction

  • RMS energy
  • Zero Crossing Rate

$python main_test_indices.py

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D

Versions:

• 0.3: New features: wave SNR, spectro noise removed, NB_peaks.
• 0.2: yaml configuration file. Object oriented audio file and index.
• 0.1: First commit

The following indices are based on the following papers and inspired in part by the R packages [seewave] (https://cran.r-project.org/package=seewave) and [soundecology] (https://cran.r-project.org/package=soundecology)

• Acoustic Complexity Index - Pieretti et al. (2011)
• Acoustic Diversity Index - Villanueva-Rivera et al. (2011)
• Acoustic Evenness Index - Villanueva-Rivera et al. (2011)
• Bioacoustic Index - Boelman, et al. (2007)
• Normalized Difference Sound Index - Kasten et al. (2012)
• Spectral Entropy - Sueur et al. (2008)
• Temporal Entropy - Sueur et al. (2008)

Boelman NT, Asner GP, Hart PJ, Martin RE. 2007. Multi-trophic invasion resistance in Hawaii: bioacoustics, field surveys, and airborne remote sensing. Ecological Applications 17: 2137-2144.

Farina A, Pieretti N, Piccioli L (2011) The soundscape methodology for long-term bird monitoring: a Mediterranean Europe case-study. Ecological Informatics, 6, 354-363.

Kasten, E.P., Gage, S.H., Fox, J. & Joo, W. (2012). The remote environmental assessment laboratory's acoustic library: an archive for studying soundscape ecology. Ecological Informatics, 12, 50-67.

Pieretti N, Farina A, Morri FD (2011) A new methodology to infer the singing activity of an avian community: the Acoustic Complexity Index (ACI). Ecological Indicators, 11, 868-873.

Sueur, J., Pavoine, S., Hamerlynck, O. & Duvail, S. (2008) - Rapid acoustic survey for biodiversity appraisal. PLoS ONE, 3(12): e4065.

Villanueva-Rivera, L. J., B. C. Pijanowski, J. Doucette, and B. Pekin. 2011. A primer of acoustic analysis for landscape ecologists. Landscape Ecology 26: 1233-1246. doi: 10.1007/s10980-011-9636-9.

This research was generously funded by Leverhulme Research Project Grant RPG-2014-403

GPL V 3 - see LICENSE.txt for more info