View source: R/scikit-maad-indices.R
maad_acoustic_complexity_index | R Documentation |
ACI depends on the duration of the spectrogram as the derivation of the signal is normalized by the sum of the signal. Thus, if the background noise is high due to high acoustic activity the normalization by the sum of the signal reduced ACI. So ACI is low when there is no acoustic activity or high acoustic activity with continuous background noise. ACI is high only when acoustic activity is medium, with sounds well above the background noise.
maad_acoustic_complexity_index(object, maad = NULL)
object |
A Wave object or a spectrogram_maad object generated by
|
maad |
An optional maad object. If not provided, one will be created using |
For addition documentation see https://scikit-maad.github.io/generated/maad.features.temporal_acoustic_complexity_index.html \insertCitepieretti2011sonicscrewdriver.
List comprising:
ACI_xx |
Acoustic Complexity Index. |
ACI_per_bin |
Acoustic Complexity Index. |
ACI_sum |
Sum of ACI value per frequency bin (Common definition) |
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