Phoneme {fdWasserstein} | R Documentation |
The dataset comprises 4509 log-periodograms computed from digitalized speech frames. Each log-periodograms is of length 256, and is based on the pronunciation of one of the following five phonemes: "sh", "dcl", "iy", "aa" and "ao".
data(phoneme)
logPeriodogram
: a 4509x256 matrix containing the log-periodograms.
Phoneme
: a vector of length 4509 containing the phonemes.
The data set was downloaded from the "Elements of statistical learning" website at https://hastie.su.domains/ElemStatLearn/
T. Hastie and R. Tibshirani and J. Friedman (2009) The elements of statistical learning: Data mining, inference and prediction, 2nd edn, New York: Springer.
data(phoneme)
old <- par(mfrow=c(3,2))
for (i in unique(Phoneme))
matplot(t(logPeriodogram[Phoneme==i,]), type="l",
xlab="", ylab="", ylim=c(0,30), main=i)
par(old)