soundgen (version 2.7.2)

plotMS: Plot modulation spectrum

Description

Plots a single modulation spectrum returned by modulationSpectrum. The result is the same as the plot produced by modulationSpectrum, but calling plotMS is handy for processed modulation spectra - for instance, for plotting the difference between the modulation spectra of two sounds or groups of sounds.

Usage

plotMS(
  ms,
  X = NULL,
  Y = NULL,
  quantiles = c(0.5, 0.8, 0.9),
  colorTheme = c("bw", "seewave", "heat.colors", "...")[1],
  col = NULL,
  logWarpX = NULL,
  logWarpY = NULL,
  main = NULL,
  xlab = "Hz",
  ylab = "1/kHz",
  xlim = NULL,
  ylim = NULL,
  audio = NULL,
  extraY = TRUE,
  ...
)

Arguments

ms

modulation spectrum - a matrix with temporal modulation in columns and spectral modulation in rows, as returned by modulationSpectrum

X, Y

rownames and colnames of ms, respectively

quantiles

labeled contour values, % (e.g., "50" marks regions that contain 50% of the sum total of the entire modulation spectrum)

colorTheme

black and white ('bw'), as in seewave package ('seewave'), matlab-type palette ('matlab'), or any palette from palette such as 'heat.colors', 'cm.colors', etc

col

actual colors, eg rev(rainbow(100)) - see ?hcl.colors for colors in base R (overrides colorTheme)

logWarpX, logWarpY

numeric vector of length 2: c(sigma, base) of pseudolog-warping the modulation spectrum, as in function pseudo_log_trans() from the "scales" package

xlab, ylab, main, xlim, ylim

graphical parameters

audio

(internal) a list of audio attributes

extraY

if TRUE, another Y-axis is plotted on the right showing 1000/Y

...

other graphical parameters passed on to filled.contour.mod and contour (see spectrogram)

Examples

ms1 = modulationSpectrum(runif(4000), samplingRate = 16000, plot = TRUE)
plotMS(ms1$processed)  # identical to above

# compare two modulation spectra
ms2 = modulationSpectrum(soundgen(sylLen = 100, addSilence = 0),
                         samplingRate = 16000)
# ensure the two matrices have the same dimensions
ms2_resized = soundgen:::interpolMatrix(ms2$original,
  nr = nrow(ms1$original), nc = ncol(ms1$original))
# plot the difference
plotMS(log(ms1$original / ms2_resized), quantile = NULL,
  col = colorRampPalette(c('blue', 'yellow')) (50))