synth_sounds: Create synthetic sounds

In maRce10/baRulho: Quantifying (Animal) Sound Degradation

Create synthetic sounds

Description

synth_sounds create synthetic sounds

Usage

synth_sounds(
  replicates = 1,
  frequencies,
  durations,
  nharmonics = 1,
  fm = FALSE,
  am = FALSE,
  am.amps = rep(c(1:4, 3:2), length.out = 11),
  mar = 0.05,
  seed = NULL,
  sig2 = 0.3,
  shuffle = FALSE,
  hrm.freqs = c(1/2, 1/3, 2/3, 1/4, 3/4, 1/5, 1/6, 1/7, 1/8, 1/9, 1/10),
  sampling.rate = 44.1,
  pb = TRUE
)

Arguments

replicates	Numeric vector of length 1 indicating the number of replicates for each treatment combination. Default is 1. Useful for measuring variation in transmission parameters.
frequencies	Numeric vector with the different frequencies (in seconds) to synthesize. A Brownian bridge motion stochastic process (diff.fun == "BB") is used to simulate frequency modulation (see simulate_songs).
durations	Numeric vector with the different durations (in seconds) to synthesize.
nharmonics	Numeric vector of length 1 specifying the number of harmonics to simulate. 1 indicates that only the fundamental frequency harmonic will be simulated.
fm	Logical to control if both frequency modulated sounds and pure tones (i.e. non-modulated sounds) are synthesize. If FALSE (default) only pure tones are synthesized.
am	Logical to control if both amplitude modulated sounds and non-modulated sounds are synthesize. If FALSE (default) only non-modulated sounds are synthesized.
am.amps	Numeric vector with the relative amplitude for each time step to simulate amplitude modulation (only applied to the fundamental frequency). The default value (rep(c(1:4, 3:2), length.out = 11)) has 2 amplitude peaks (although only applied if 'am = TRUE')
mar	Numeric vector with the duration of margins of silence around sounds in seconds. Default is 0.05.
seed	Numeric vector of length 1. This allows users to get the same results in different runs (using se.seed internally). Default is NULL.
sig2	Numeric vector of length 1 defining the sigma value of the brownian motion model (used for simulating frequency modulation). Default is 0.3.
shuffle	Logical to control if the position of sounds is randomized. Having all sounds from the same treatment in a sequence can be problematic if an environmental noise masks them. Hence 'shuffle' is useful to avoid having sounds from the same treatment next to each other. Default is FALSE.
hrm.freqs	Numeric vector with the frequencies of the harmonics relative to the fundamental frequency. The default values are c(1/2, 1/3, 2/3, 1/4, 3/4, 1/5, 1/6, 1/7, 1/8, 1/9, 1/10).
sampling.rate	Numeric vector of length 1. Sets the sampling frequency of the wave object (in kHz). Default is 44.1.
pb	Logical argument to control if progress bar is shown. Default is TRUE.

Details

This function creates synthetic sounds that can be used for playback experiments to understand the link between signal structure and its transmission properties. The function can add variation in signal structure in 5 features:

• frequency: continuous, argument 'frequencies'.

• duration: continuous, argument 'durations'.

• harmonic structure: binary (harmonics vs no-harmonics), arguments 'nharmonics' and 'hrm.freqs'.

• frequency modulation: variation in fundamental frequency across time. Binary (modulated vs non-modulated), arguments 'fm' and 'sig2'.

• amplitude modulation: variation in amplitude across time. Binary (modulated vs non-modulated), arguments 'am' and 'am.amps'.

Sound for all possible combinations of the selected structure dimensions will be synthesized. The output is an extended selection table, which can be input into master_sound_file to create the .wav file. The functions uses simulate_songs internally for synthesizing individual sounds. A Brownian bridge motion stochastic process (diff.fun == "BB") is used to simulate frequency modulation. The output table contains columns for each of the varying features and a 'treatment' column (useful to tell sound from the same combination of features when using replicates).

Value

An extended selection table, which can be input into master_sound_file to create the .wav file. The table contains columns for each of the varying features a 'treatment' column (useful to tell the acoustic features of each sound) and a 'replicate' column indicating the replicates for each 'treatment'.

Author(s)

Marcelo Araya-Salas ([e-mail])

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.

See Also

simulate_songs from the package warbleR.

Other prepare acoustic data: master_sound_file()

Examples

## Not run: 

synthetic_est <- synth_sounds(
  mar = 0.01,
  frequencies = c(1, 2, 3, 5),
  durations = 0.1,
  fm = TRUE,
  am = TRUE,
  nharmonics = 4,
  shuffle = TRUE,
  replicates = 3
)

## End(Not run)

maRce10/baRulho documentation built on March 30, 2024, 7:50 a.m.