split_sound_files splits sound files in shorter segments

split_sound_files(path = NULL, sgmt.dur = 10, sgmts = NULL, files = NULL,
parallel = 1, pb = TRUE, only.sels = FALSE, X = NULL)

## Arguments

path Directory path where sound files are found. If NULL (default) then the current working directory is used. Numeric. Duration (in s) of segments in which sound files would be split. Sound files shorter than 'sgmt.dur' won't be split. Ignored if 'sgmts' is supplied. Numeric. Number of segments in which to split each sound file. If supplied 'sgmt.dur' is ignored. Character vector indicating the subset of files that will be split. Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing). Logical argument to control progress bar. Default is TRUE. Only used when Logical argument to control if only the data frame is returned (no wave files are saved). Default is FALSE. 'selection_table' object or a data frame with columns for sound file name (sound.files), selection number (selec), and start and end time of signal (start and end). If supplied the data frame/selection table is modified to reflect the position of the selections in the new sound files. Note that some selections could split between 2 segments. To deal with this, a 'split.sels' column is added to the data frame in which those selection are labeled as 'split'. Default is NULL.

## Value

Wave files for each segment in the working directory (if only.sels = FALSE, named as 'sound.file.name-#.wav') and a data frame in the R environment containing the name of the original sound files (org.sound.files), the name of the clips (sound.files) and the start and end of clips in the original files. Clips are saved in .wav format. If 'X' is supplied then a data frame with the position of the selections in the newly created clips is returned instead.

## Details

This function aims to reduce the size of sound files in order to simplify some processes that are limited by sound file size (big files can be manipulated, e.g. auto_detec). The function keeps the original number of channels in the output clips only for 1- and 2-channel files.

## 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.

cut_sels

Other data manipulation: move_imgs(), open_wd()

## Author

Marcelo Araya-Salas (marcelo.araya@ucr.ac.cr)

## Examples

{
#load data and save to temporary working directory
data(list = c("Phae.long1", "Phae.long2", "Phae.long3"))
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"))

#split files in 1 s files
split_sound_files(sgmt.dur = 1, path = tempdir())

# Check this folder
tempdir()
}