Compute the acoustic activity index using scikit-maad — maad_temporal

For addition documentation see https://scikit-maad.github.io/generated/maad.features.temporal_activity.html (Towsey 2013) .

Usage

maad_temporal_activity(
  wave,
  dB_threshold = 3,
  mode = "fast",
  Nt = 512,
  maad = NULL
)

Arguments

wave: A Wave object.
dB_threshold: dB threshold of activity (default = 3).
mode: Mode of the envelope calculation. Can be "fast" or "Hilbert".
Nt: Size of each frame. The largest, the highest is the approximation.
maad: An optional maad object. If not provided, one will be created using getMaad().

Value

List of calculated values, comprising:

ACTfrac: fraction)of points above the threshold for each frequency bin.
ACTcount: total number of points above the threshold for each frequency bin.
ACTmean: mean value (in dB) of the portion of the signal above the threshold.

References

Towsey M (2013). “Noise Removal from Waveforms and Spectrograms Derived from Natural Recordings of the Environment.” Queensland University of Technology. https://eprints.qut.edu.au/216373/.