waveCutter: waveCutter

In vrios/songspellR: Automates syllable detection and classification in bioacoustic analyses

Description

Takes a dataframe with event starts and ends (see output from findSyllables), and produces .wav files for each of these selections, along with a corresponding spectrogram

Usage

waveCutter(
  X,
  padding = 0.03,
  units = "seconds",
  low = 1000,
  high = 22000,
  write.wavs = TRUE,
  write.specs = FALSE
)

Arguments

X	Vector of filenames
padding	Time to be added before and after each selection, is seconds or milliseconds
units	time unit for padding, either "seconds" (default) or "ms"
low	in Hz, lower frequency limit for filter, optional
high	in Hz, higher frequency limit for filter, optional
write.wavs	logical, should the wav files for each selection be saved?
write.specs	logical, should the spectrograms files for each selection be saved?

Value

Returns a dataframe with six columns: X = original filenames, "waves" = .wav filenames, "spectrograms" = spectrogram filenames

vrios/songspellR documentation built on Dec. 23, 2021, 4:12 p.m.