seewave (version 2.1.6)

csh: Continuous spectral entropy

Description

This function computes the continuous spectral entropy (H) of a time wave.

Usage

csh(wave, f, channel = 1, wl = 512, wn = "hanning", ovlp = 0,
fftw = FALSE, threshold = NULL,
plot = TRUE, xlab = "Times (s)", ylab = "Spectral Entropy",
ylim = c(0, 1.1), type = "l", ...)

Arguments

wave

an R object.

f

sampling frequency of wave (in Hz). Does not need to be specified if embedded in wave.

channel

channel of the R object, by default left channel (1).

wl

if at is not null, length of the window for the analysis (even number of points, by default = 512).

wn

window name, see ftwindow (by default "hanning").

ovlp

overlap between two successive windows (in %).

fftw

if TRUE calls the function FFT of the library fftw. See Notes of the spectro.

threshold

amplitude threshold for signal detection (in %).

plot

logical, if TRUE plots the spectral entropy against time (by default TRUE).

xlab

title of the x axis.

ylab

title of the y axis.

ylim

the range of y values.

type

if plot is TRUE, type of plot that should be drawn. See plot for details (by default "l" for lines).

…

other plot graphical parameters.

Value

When plot is FALSE, csh returns a two-column matrix, the first column being time in seconds (x-axis) and the second column being the spectral entropy (y-axis) computed along time. NA corresponds to pause sections in wave (see threshold).

Details

See sh for computing method.

References

Toh, A. M., Togneri, R. & Nordholm, S. 2005 Spectral entropy as speech features for speech recognition. Proceedings of PEECS, pp. 60-65.

See Also

sh, th

Examples

# NOT RUN {
data(orni)
csh(orni,f=22050,wl=512,ovlp=50)
# using the threshold argument can lead to some edge effets
# here sh=1 at the end of echemes
csh(orni,f=22050,wl=512,ovlp=50,threshold=5)
# }