sig2noise | R Documentation |
sig2noise
measures signal-to-noise ratio across multiple files.
sig2noise(
X,
mar,
parallel = 1,
path = NULL,
pb = TRUE,
type = 1,
eq.dur = FALSE,
in.dB = TRUE,
before = FALSE,
lim.dB = TRUE,
bp = NULL,
wl = 10
)
X |
object of class 'selection_table', 'extended_selection_table' or any data frame with columns for sound file name (sound.files), selection number (selec), and start and end time of signal (start and end). |
mar |
numeric vector of length 1. Specifies the margins adjacent to the start and end points of selection over which to measure noise. |
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). It can also be
set globally using the 'parallel' option (see |
path |
Character string containing the directory path where the sound files are located.
If |
pb |
Logical argument to control if progress bar is shown. Default is |
type |
Numeric. Determine the formula to be used to calculate the signal-to-noise ratio (S = signal , N = background noise):
|
eq.dur |
Logical. Controls whether the noise segment that is measured has the same duration
than the signal (if |
in.dB |
Logical. Controls whether the signal-to-noise ratio is returned in decibels (20*log10(SNR)).
Default is |
before |
Logical. If |
lim.dB |
Logical. If |
bp |
Numeric vector of length 2 giving the lower and upper limits of a frequency bandpass filter (in kHz). Default is |
wl |
A numeric vector of length 1 specifying the window length of the spectrogram for applying bandpass. Default
is 10. Ignored if |
Signal-to-noise ratio (SNR) is a measure of the level of a desired signal compared to
background noise. The function divides the mean amplitude of the signal by
the mean amplitude of the background noise adjacent to the signal.
A general margin to apply before and after the acoustic signal must
be specified. Setting margins for individual signals that have been
previously clipped from larger files may take some optimization, as
for calls within a larger file that are irregularly separated. When
margins overlap with another acoustic signal nearby, the signal-to-noise
ratio (SNR) will be inaccurate. Any SNR less than or equal to one suggests
background noise is equal to or overpowering the acoustic signal.
snr_spectrograms
can be used to troubleshoot different noise margins.
The input 'X' object with a new column including the signal-to-noise values.
Marcelo Araya-Salas (marcelo.araya@ucr.ac.cr) and Grace Smith Vidaurre
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. Wikipedia: Signal-to-noise ratio
{
data(list = c("Phae.long1", "lbh_selec_table"))
writeWave(Phae.long1, file.path(tempdir(), "Phae.long1.wav")) # save sound files
# specifying the correct margin is important
# use snr_spectrograms to troubleshoot margins for sound files
sig2noise(lbh_selec_table[grep("Phae.long1", lbh_selec_table$sound.files), ],
mar = 0.2,
path = tempdir()
)
# this smaller margin doesn't overlap neighboring signals
sig2noise(lbh_selec_table[grep("Phae.long1", lbh_selec_table$sound.files), ],
mar = 0.1,
path = tempdir()
)
}
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