Last data update: 2014.03.03

R: Phoneme data
PhonemeR Documentation

Phoneme data

Description

This data set was formed by selecting five phonemes for classification based on digitized speech. There are n=2000 pairs (x_i, y_i)_{i=1,...,n}, where x_i corresponds to the discretized log-periodograms whereas the y_i gives the class membership (five phonemes: aa, ao, dcl, iy, sh).

Usage

data(aa)
data(ao)
data(dcl)
data(iy)
data(sh)

Format

An object of class fds.

Details

The phonemes are transcribed as follows: "sh" as in "she", "dcl" as in "dark", "iy" as the vowel in "she", "aa" as the vowel in "dark", and "ao" as the first vowel in "water".

Note

We thank Professor Frederic Ferraty for the permission to re-distribute this data set.

Source

This data set is a part of the original one from the elements of statistical learning website at http://www-stat.stanford.edu/ElemStatLearn.

This data set can also be found at the NonParametric Functional Data Analysis website (http://www.lsp.ups-tlse.fr/staph/npfda/).

References

F. Ferraty and P. Vieu (2003) "Curve discrimination: a nonparametric functional approach", Computational Statistics and Data Analysis, 44(1-2), 161-173.

F. Ferraty and P. Vieu (2006) Nonparametric functional data analysis, New York: Springer.

T. Hastie and R. Tibshirani and J. Friedman (2009) The elements of statistical learning: Data mining, inference and prediction, 2nd edn, New York: Springer.

Examples

plot(aa)
plot(ao)
plot(dcl)
plot(iy)
plot(sh)

Results