plot_blur_ratio: Plot blur ratio

In maRce10/baRulho: Quantifying (Animal) Sound Degradation

Plot blur ratio

Description

plot_blur_ratio plots time and frequency blur ratio in sounds referenced in an extended selection table.

Usage

plot_blur_ratio(
  X,
  type = c("envelope", "spectrum"),
  cores = getOption("mc.cores", 1),
  pb = getOption("pb", TRUE),
  env.smooth = getOption("env.smooth", 200),
  spec.smooth = getOption("spec.smooth", 5),
  res = 150,
  flim = c("-1", "+1"),
  hop.size = getOption("hop.size", 11.6),
  wl = getOption("wl", NULL),
  ovlp = getOption("ovlp", 70),
  palette = viridis::viridis,
  collevels = seq(-120, 0, 5),
  dest.path = getOption("dest.path", "."),
  path = getOption("sound.files.path", "."),
  colors = viridis::viridis(3),
  n.samples = 100
)

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'.
type	Character vector of length 1 indicating the type of blur ratio to plot. The two options are 'envelope' (for regular blur ratio as in blur_ratio, default) and 'spectrum' (for spectrum blur ratio as in spectrum_blur_ratio).
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.
env.smooth	Numeric vector of length 1 determining the length of the sliding window (in amplitude samples) used for a sum smooth for amplitude envelope calculation (used internally by env). Default is 200.
spec.smooth	Numeric vector of length 1 determining the length of the sliding window used for a sum smooth for power spectrum calculation (in kHz). Default is 5.
res	Numeric argument of length 1. Controls image resolution. Default is 150 (faster) although 300 - 400 is recommended for publication/presentation quality.
flim	A numeric vector of length 2 indicating the highest and lowest frequency limits (kHz) of the spectrograms, as in spectro. Default is NULL. Alternatively, a character vector similar to c("-1", "1") in which the first number is the value to be added to the minimum bottom frequency in 'X' and the second the value to be added to the maximum top frequency in 'X'. This is computed independently for each sound id so the frequency limit better fits the frequency range of the annotated signals. This is useful when test sounds show marked differences in their frequency ranges.
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. Only used when plotting. Default is 70. Applied to both spectra and spectrograms on image files.
palette	A color palette function to be used to assign colors in the plot, as in spectro. Default is viridis.
collevels	Numeric vector indicating a set of levels which are used to partition the amplitude range of the spectrogram (in dB) as in spectro. Default is seq(-120, 0, 5).
dest.path	Character string containing the directory path where the image files will be saved. If not supplied the current working directory will be used instead.
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.
colors	Character vector of length 4 containing the colors to be used for the color to identify the reference sound (element 1), the color to identify the test sound (element 2) and the color of blurred region (element 3).
n.samples	Numeric vector of length 1 specifying the number of amplitude samples (or frequency bins if spectrum = TRUE) to use for representing power distributions. Default is 100. If null the raw power distribution is used (note that this can result in high RAM memory usage for large data sets).

Details

The function generates image files (in 'jpeg' format) for each possible blur ratio estimation in 'X'. The image files show the spectrograms of both sounds and the overlaid power distribution (either amplitude envelopes or power spectrum, see argument 'type') as probability mass functions (PMF). The output graphs highlight the mismatch between the compared distribution which represent the estimated blur ratio returned by either blur_ratio or spectrum_blur_ratio. Spectrograms are shown within the frequency range of the reference sound and also show dotted lines with the time (type = "envelope") or frequency range (type = "spectrum") in which energy distributions where computed.

Value

It returns 1 image file (in 'jpeg' format) for each blur ratio estimation, showing spectrograms of both sounds and the overlaid amplitude envelopes (or power spectra if spectrum = TRUE) as probability mass functions (PMF). Spectrograms are shown within the frequency range of the reference sound. It also returns the file path of the images invisibly.

Author(s)

Marcelo Araya-Salas ([e-mail])

References

Dabelsteen, T., Larsen, O. N., & Pedersen, S. B. (1993). Habitat-induced degradation of sound signals: Quantifying the effects of communication sounds and bird location on blur ratio, excess attenuation, and signal-to-noise ratio in blackbird song. The Journal of the Acoustical Society of America, 93(4), 2206.

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

See Also

envelope_correlation, spectrum_blur_ratio, blur_ratio

Other quantify degradation: blur_ratio(), detection_distance(), envelope_correlation(), 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)

  # create plots
  plot_blur_ratio(X = X, dest.path = tempdir())
}

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