envelope_correlation: Measure amplitude envelope correlation

In maRce10/baRulho: Quantifying (Animal) Sound Degradation

Measure amplitude envelope correlation

Description

envelope_correlation measures amplitude envelope correlation of sounds referenced in an extended selection table.

Usage

envelope_correlation(
  X,
  cores = getOption("mc.cores", 1),
  pb = getOption("pb", TRUE),
  cor.method = c("pearson", "spearman", "kendall"),
  env.smooth = getOption("env.smooth", 200),
  hop.size = getOption("hop.size", 11.6),
  wl = getOption("wl", NULL),
  ovlp = getOption("ovlp", 70),
  path = getOption("sound.files.path", ".")
)

Arguments

X	The output of set_reference_sounds which is an object of class 'data.frame', 'selection_table' or 'extended_selection_table' (the last 2 classes are created by the function selection_table from the warbleR package) with the reference to the test sounds . Must contain the following columns: 1) "sound.files": name of the .wav files, 2) "selec": unique selection identifier (within a sound file), 3) "start": start time and 4) "end": end time of selections, 5) "bottom.freq": low frequency for bandpass, 6) "top.freq": high frequency for bandpass, 7) "sound.id": ID of sounds used to identify counterparts across distances and 8) "reference": identity of sounds to be used as reference for each test sound (row). See set_reference_sounds for more details on the structure of 'X'.
cores	Numeric vector of length 1. Controls whether parallel computing is applied by specifying the number of cores to be used. Default is 1 (i.e. no parallel computing).
pb	Logical argument to control if progress bar is shown. Default is TRUE.
cor.method	Character string indicating the correlation coefficient to be applied ("pearson", "spearman", or "kendall", see cor).
env.smooth	Numeric vector of length 1 to determine the length of the sliding window used for a sum smooth for amplitude envelope calculation (used internally by env).
hop.size	A numeric vector of length 1 specifying the time window duration (in ms). Default is 11.6 ms, which is equivalent to 512 wl for a 44.1 kHz sampling rate. Ignored if 'wl' is supplied.
wl	a vector with a single even integer number specifying the window length of the spectrogram, default is NULL. If supplied, 'hop.size' is ignored. Odd integers will be rounded up to the nearest even number.
ovlp	Numeric vector of length 1 specifying the percentage of overlap between two consecutive windows, as in spectro. Default is 70.
path	Character string containing the directory path where the sound files are found. Only needed when 'X' is not an extended selection table. If not supplied the current working directory is used.

Details

Amplitude envelope correlation measures the similarity of two sounds in the time domain. The function measures the envelope correlation coefficients of sounds in which a reference playback has been re-recorded at increasing distances. Values close to 1 means very similar amplitude envelopes (i.e. little degradation has occurred). If envelopes have different lengths (which means sounds have different lengths) cross-correlation is used and the maximum correlation coefficient is returned. Cross-correlation is achieved by sliding the shortest sound along the largest one and computing the correlation at each step. The 'sound.id' column must be used to indicate the function to only compare sounds belonging to the same category (e.g. song-types). The function compares each sound to the corresponding reference sound within the supplied frequency range (e.g. bandpass) of the reference sound ('bottom.freq' and 'top.freq' columns in 'X'). Two methods for computing envelope correlation are provided (see 'method' argument). Use blur_ratio to create envelopes graphs.

Value

Object 'X' with an additional column, 'envelope.correlation', containing the computed envelope correlation coefficients.

Author(s)

Marcelo Araya-Salas ([e-mail])

References

Araya-Salas, M. (2020). baRulho: baRulho: quantifying degradation of (animal) acoustic signals in R. R package version 1.0.2

Apol, C.A., Sturdy, C.B. & Proppe, D.S. (2017). Seasonal variability in habitat structure may have shaped acoustic signals and repertoires in the black-capped and boreal chickadees. Evol Ecol. 32:57-74.

See Also

blur_ratio, spectrum_blur_ratio

Other quantify degradation: blur_ratio(), detection_distance(), plot_blur_ratio(), plot_degradation(), set_reference_sounds(), signal_to_noise_ratio(), spcc(), spectrum_blur_ratio(), spectrum_correlation(), tail_to_signal_ratio()

Examples

{
  # load example data
  data("test_sounds_est")

  # add reference to X
  X <- set_reference_sounds(X = test_sounds_est)

  envelope_correlation(X = X)

  # method 2
  # add reference to X
  X <- set_reference_sounds(X = test_sounds_est, method = 2)
  envelope_correlation(X = X)
}

maRce10/baRulho documentation built on March 30, 2024, 7:50 a.m.