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#' Add synthetic noise
#'
#' \code{add_noise} adds synthetic noise to annotations in extended selection tables
#' @inheritParams template_params
#' @param X Object of class 'extended_selection_table' (created by the function \code{\link[warbleR]{selection_table}} from the warbleR package), generated 'by element', with the reference to the test sounds (typically the output of \code{\link{align_test_files}}). Must contain the following columns: 1) "sound.files": name of the .wav files, 2) "selec": unique selection identifier (within a sound file), 3) "start": start time and 4) "end": end time of selections, 5) "bottom.freq": low frequency for bandpass, 6) "top.freq": high frequency for bandpass and 7) "sound.id": ID of sounds (needed to calculate signal to noise ratio internally using \code{\link{signal_to_noise_ratio}}).
#' @param mar numeric vector of length 1. Specifies the margins adjacent to
#' the start point of the annotation over which to measure ambient noise.
#' @param target.snr numeric vector of length 1. Specifies the desired signal-to-noise ratio. Must be lower that the current signal-to-noise ratio. Annotations showing a signal-to-noise ratio higher than 'target.snr' will remain unchanged. Must be supplied.
#' @param precision numeric vector of length 1. Specifies the precision of the adjusted signal-to-noise ratio (in dB).
#' @param max.iterations Numeric vector of length 1. Specifies the maximum number of iterations that the internal signal-to-noise adjusting routine will run before stopping. Note that in most cases the default maximum number of iterations (1000) is not reached.
#' @param kind Character vector of length 1 indicating the kind of noise, “white”, “pink”, “power”, "brown", or “red”. Noise is synthesized with a modified version of the function \code{\link[tuneR]{noise}}. Default is "pink" which is similar to background noise in natural environments.
#' @param alpha Numeric vector of length 1. The power for the power law noise (defaults are 1 for pink and 1.5 for red noise). Only used when \code{kind = "power"}.
#' @param ... Additional arguments to be passed internally to \code{\link{signal_to_noise_ratio}}.
#' @return Object 'X' in which the wave objects have been modified to match the target signal-to-noise ratio. It also includes an additional column, 'adjusted.snr', with the new signal-to-noise ratio values.
#' @export
#' @name add_noise
#' @details The function adds synthetic noise to sounds referenced in an extended selection table (class created by the function \code{\link[warbleR]{selection_table}} from the warbleR package) to decrease the signal-to-noise ratio. This can be useful, for instance, for evaluating the effect of background noise on signal structure. Note that the implementation is slow.
#' @examples \dontrun{
#' # load example data
#' data("test_sounds_est")
#'
#' # make it a 'by element' extended selection table
#' X <- warbleR::by_element_est(X = test_sounds_est)
#'
#' # add noise to the first five rows
#' X_noise <- add_noise(X = X[1:5, ], mar = 0.2, target.snr = 3)
#' }
#' @author Marcelo Araya-Salas (\email{marcelo.araya@@ucr.ac.cr})
#' @family miscellaneous
#' @seealso \code{\link{signal_to_noise_ratio}}
#' @references {
#' Araya-Salas M., E. Grabarczyk, M. Quiroz-Oliva, A. Garcia-Rodriguez, A. Rico-Guevara. (2023), baRulho: an R package to quantify degradation in animal acoustic signals .bioRxiv 2023.11.22.568305.
#' Timmer. J and M. König (1995): On generating power law noise. Astron. Astrophys. 300, 707-710.
#' }
add_noise <-
function(X,
mar = NULL,
target.snr = 2,
precision = 0.1,
cores = getOption("mc.cores", 1),
pb = getOption("pb", TRUE),
max.iterations = 1000,
kind = c("pink", "white", "brown", "red", "power"),
alpha = 1,
...) {
# assign a value to kind
kind <- rlang::arg_match(kind)
# check arguments
arguments <- as.list(base::match.call())
# add objects to argument names
for (i in names(arguments)[-1]) {
# use try to avoid errors with argumets from dots (...)
try(arguments[[i]] <- get(i), silent = TRUE)
}
# check each arguments
check_results <-
.check_arguments(fun = arguments[[1]], args = arguments)
# report errors
.report_assertions(check_results)
# get index number
target_rows <- which(!X$sound.id %in% c("ambient", "marker"))
wav_snr_list <-
warbleR:::.pblapply(
pbar = pb,
X = target_rows,
cl = cores,
FUN = .add_noise,
mar = mar,
target.snr = target.snr,
precision = precision,
max.iterations = max.iterations,
Y = X,
kind = kind,
alpha = alpha
)
names(wav_snr_list) <- target_rows
# add empty column to fill with adjusted SNR values
X$adjusted.snr <- NA
# add modified waves to original extended selection table
for (i in target_rows) {
attributes(X)$wave.objects[[i]] <-
wav_snr_list[[which(target_rows == i)]]$wave
X$adjusted.snr[i] <-
wav_snr_list[[which(target_rows == i)]]$snr
}
# check if some were not modified
if (any(!sapply(wav_snr_list, "[[", 3))) {
n_wavs <- sum(!sapply(wav_snr_list, "[[", 3))
cli::cli_alert_warning(text = .colortext(
paste0(
"Warning: {n_wavs} wave{?s} already have a signal-to-noise ratio lower than ",
target.snr,
" (the target SNR) and w{?as/ere} not modified (run signal_to_noise_ratio(X, mar = ",
mar,
") to spot {?it/them})"
),
as = "magenta"
),
wrap = TRUE)
}
return(X)
}
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