csh {seewave}R Documentation

Continuous spectral entropy

Description

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

Usage

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

Arguments

wave data describing a time wave or a Sample object created loading a wav file with loadSample (package Sound).
f sampling frequency of wave (in Hz)
wl if at is not null, length of the window for the analysis (even number of points).
wn window name, see ftwindow (by default "hanning").
ovlp overlap between two successive windows (in %).
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.
... other plot graphical parameters.

Details

See sh for computing method.

Value

If plot is FALSE, csh function returns a vector of numeric data corresponding to the spectral entropy along the time wave.

Note

The spectral entropy of a noisy signal will tend towards 1 whereas the spectral entropy of a pure tone signal will tend towards 0.

Author(s)

Jérôme Sueur jerome.sueur@univ-tours.fr

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

Examples

data(orni)
csh(orni,f=22050,wl=512,ovlp=50,type="l")
# 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,type="l")

[Package seewave version 1.4.2 Index]