find_clipping: Find clipped selections

In warbleR: Streamline Bioacoustic Analysis

Find clipped selections

Description

find_clipping gets the proportion of samples that are clipped.

Usage

find_clipping(X, path = NULL, parallel = 1, pb = TRUE)

Arguments

X	'selection_table', 'extended_selection_table' or data frame with the following columns: 1) "sound.files": name of the sound files, 2) "selec": number of the selections, 3) "start": start time of selections, 4) "end": end time of selections.
path	Character string containing the directory path where the sound files are located. If NULL (default) then the current working directory is used.
parallel	Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing).
pb	Logical argument to control progress bar and messages. Default is TRUE.

Details

Clipping (i.e. saturation) occurs when an audio signal is amplified above the maximum limit of the recorder. This leads to distortion and a lowering of audio quality. If stereo the mean proportion of both channels is returned. The function assumes specific range values for different bit depths as detailed in normalize.

Value

A data frame with the 'sound.files' and 'selec' columns in X plus an additional column ('prop.clipped') indicating the proportion of clipped samples for each row. If sound files are stereo the average proportion of the two channels is returned.

Author(s)

Marcelo Araya-Salas ([e-mail])

References

Araya-Salas, M., & Smith-Vidaurre, G. (2017). warbleR: An R package to streamline analysis of animal acoustic signals. Methods in Ecology and Evolution, 8(2), 184-191.

See Also

sig2noise

Examples

{
  # load data
  data(list = c("Phae.long1", "Phae.long2", "lbh_selec_table"))
  writeWave(Phae.long1, file.path(tempdir(), "Phae.long1.wav")) # save sound files
  writeWave(Phae.long2, file.path(tempdir(), "Phae.long2.wav"))

  find_clipping(X = lbh_selec_table[1:5, ], path = tempdir())
}

warbleR documentation built on Sept. 11, 2024, 7:13 p.m.