.spectrogram  R Documentation 
Internal soundgen function called by spectrogram
and
analyze
.
.spectrogram( audio, dynamicRange = 80, windowLength = 50, step = NULL, overlap = 70, wn = "gaussian", zp = 0, normalize = TRUE, smoothFreq = 0, smoothTime = 0, qTime = 0, percentNoise = 10, noiseReduction = 0, method = c("spectrum", "spectralDerivative")[1], output = c("original", "processed", "complex")[1], plot = TRUE, osc = c("none", "linear", "dB")[2], heights = c(3, 1), ylim = NULL, yScale = "linear", contrast = 0.2, brightness = 0, maxPoints = c(1e+05, 5e+05), padWithSilence = TRUE, colorTheme = c("bw", "seewave", "heat.colors", "...")[1], extraContour = NULL, xlab = NULL, ylab = NULL, xaxp = NULL, mar = c(5.1, 4.1, 4.1, 2), main = NULL, grid = NULL, width = 900, height = 500, units = "px", res = NA, internal = NULL, ... )
audio 
a list returned by 
dynamicRange 
dynamic range, dB. All values more than one dynamicRange under maximum are treated as zero 
windowLength 
length of FFT window, ms 
step 
you can override 
overlap 
overlap between successive FFT frames, % 
wn 
window type accepted by 
zp 
window length after zero padding, points 
normalize 
if TRUE, scales input prior to FFT 
smoothFreq, smoothTime 
length of the window for median smoothing in frequency and time domains, respectively, points 
qTime 
the quantile to be subtracted for each frequency bin. For ex., if qTime = 0.5, the median of each frequency bin (over the entire sound duration) will be calculated and subtracted from each frame (see examples) 
percentNoise 
percentage of frames (0 to 100%) used for calculating noise spectrum 
noiseReduction 
how much noise to remove (nonnegative number,
recommended 0 to 2). 0 = no noise reduction, 2 = strong noise reduction:
spectrum  (noiseReduction * noiseSpectrum), where noiseSpectrum is
the average spectrum of frames with entropy exceeding the quantile set by

method 
plot spectrum ('spectrum') or spectral derivative ('spectralDerivative') 
output 
specifies what to return: nothing ('none'), unmodified spectrogram ('original'), denoised and/or smoothed spectrogram ('processed'), or unmodified spectrogram with the imaginary part giving phase ('complex') 
plot 
should a spectrogram be plotted? TRUE / FALSE 
osc 
"none" = no oscillogram; "linear" = on the original scale; "dB" = in decibels 
heights 
a vector of length two specifying the relative height of the spectrogram and the oscillogram (including time axes labels) 
ylim 
frequency range to plot, kHz (defaults to 0 to Nyquist frequency). NB: still in kHz, even if yScale = bark, mel, or ERB 
yScale 
scale of the frequency axis: 'linear' = linear, 'log' =
logarithmic (musical), 'bark' = bark with 
contrast 
spectrum is exponentiated by contrast (any real number, recommended 1 to +1). Contrast >0 increases sharpness, <0 decreases sharpness 
brightness 
how much to "lighten" the image (>0 = lighter, <0 = darker) 
maxPoints 
the maximum number of "pixels" in the oscillogram (if any) and spectrogram; good for quickly plotting long audio files; defaults to c(1e5, 5e5) 
padWithSilence 
if TRUE, pads the sound with just enough silence to resolve the edges properly (only the original region is plotted, so the apparent duration doesn't change) 
colorTheme 
black and white ('bw'), as in seewave package ('seewave'),
or any palette from 
extraContour 
a vector of arbitrary length scaled in Hz (regardless of yScale!) that will be plotted over the spectrogram (eg pitch contour); can also be a list with extra graphical parameters such as lwd, col, etc. (see examples) 
xlab, ylab, main, mar, xaxp 
graphical parameters for plotting 
grid 
if numeric, adds n = 
width, height, units, res 
graphical parameters for saving plots passed to

internal 
a long list of stuff for plotting pitch contours passed by analyze() 
... 
other graphical parameters 
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