cut_sels cuts selections from a selection table into individual sound files.
cut_sels(X, mar = 0.05, parallel = 1, path = NULL, dest.path = NULL, pb = TRUE, labels = c("sound.files", "selec"), overwrite = FALSE, norm = FALSE, ...)
| X | object of class 'selection_table', 'extended_selection_table' or data frame containing columns for sound file name (sound.files),
selection number (selec), and start and end time of signals (start and end).
The output of |
|---|---|
| mar | Numeric vector of length 1. Specifies the margins adjacent to the start and end points of selections, delineating spectrogram limits. Default is 0.05. |
| 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). |
| path | Character string containing the directory path where the sound files are located.
If |
| dest.path | Character string containing the directory path where the cut sound files will be saved.
If |
| pb | Logical argument to control progress bar. Default is |
| labels | String vector. Provides the column names that will be used as labels to
create sound file names. Note that they should provide unique names (otherwise
sound files will be overwritten). Default is |
| overwrite | Logical. If |
| norm | Logical indicating whether wave objects must be normalized first using the function |
| ... | Additional arguments to be passed to the internal |
Sound files of the signals listed in the input data frame.
This function allow users to produce individual sound files from the selections
listed in a selection table as in lbh_selec_table. Note that wave objects with a bit depth of 32 might not be readable by some programs after exporting. In this case they should be "normalized" (argument 'norm") with a lower bit depth.
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.
seltailor for tailoring selections
blog post on cutting sound files
{ # save wav file examples data(list = c("Phae.long1", "Phae.long2", "Phae.long3", "Phae.long4", "lbh_selec_table")) writeWave(Phae.long1, file.path(tempdir(), "Phae.long1.wav")) writeWave(Phae.long2, file.path(tempdir(), "Phae.long2.wav")) writeWave(Phae.long3, file.path(tempdir(), "Phae.long3.wav")) writeWave(Phae.long4, file.path(tempdir(), "Phae.long4.wav")) # cut selections cut_sels(lbh_selec_table, path = tempdir()) #check this folder!! tempdir() }#> [1] "/tmp/Rtmp8RcLVb"