Acoustic Complexity Index
This function computes the Acoustic Complexity Index (ACI) as described in Pieretti et al. (2011)
ACI(wave, f, channel = 1, wl = 512, ovlp = 0, wn = "hamming", flim = NULL, nbwindows = 1)
wave |
an R object. |
f |
sampling frequency of |
channel |
channel of the R object, by default left channel (1). |
wl |
window length for the analysis (even number of points) (by default = 512). |
ovlp |
overlap between two successive windows (in %). |
wn |
window name, see |
flim |
a numeric vector of length 2 to select a frequency band (in kHz). |
nbwindows |
a numeric vector of length 1 specifying the number of
windows (by default 1, ie a single window including the complete |
The function computes first a short-term Fourier transform and then
the ACI index.
The function returns only the ACI total, ACI tot in Pieretti et
al. (2010).
See the references for details on computation.
A vector of length 1 returning the ACI total.
Values returned were checked with the results provided by the add-on Soundscapemeter for the software Wavesurfer http://www.speech.kth.se/wavesurfer/.
Laurent Lellouch, improved by Amandine Gasc and Morgane Papin
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.
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.
data(tico) ACI(tico) ## dividing the sound sample into 4 windows of equal duration ACI(tico, nbwindows=4) ## selection of a frequency band ACI(tico, flim=c(2,6))
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