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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).
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An object of class fds
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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".
We thank Professor Frederic Ferraty for the permission to re-distribute this data set.
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/).
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.
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