\HeaderA{Vowel}{Vowel Recognition (Deterding data)}{Vowel}
\keyword{datasets}{Vowel}
\begin{Description}\relax
Speaker independent recognition of the eleven steady state
vowels of British English using a specified training set of lpc
derived log area ratios. The vowels are indexed by integers
0-10. For each utterance, there are ten floating-point input values,
with array indices 0-9. The vowels are the following: hid, hId, hEd,
hAd, hYd, had, hOd, hod, hUd, hud, hed.
\end{Description}
\begin{Usage}
\begin{verbatim}data(Vowel)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 990 observations on 10 independent variables, one
nominal and the other numerical, and 1 as the target class.
\end{Format}
\begin{Source}\relax
\Itemize{
\item Creator: Tony Robinson 
\item Maintainer: Scott E. Fahlman, CMU
}

These data have been taken from the UCI Repository Of Machine Learning
Databases at
\Itemize{
\item \url{ftp://ftp.ics.uci.edu/pub/machine-learning-databases}
\item \url{http://www.ics.uci.edu/~mlearn/MLRepository.html}
}
and were converted to R format by Evgenia.Dimitriadou@ci.tuwien.ac.at.
\end{Source}
\begin{References}\relax
D. H. Deterding, 1989, University of Cambridge, "Speaker
Normalisation for Automatic Speech Recognition", submitted for PhD.

M. Niranjan and F. Fallside, 1988, Cambridge University Engineering
Department, "Neural Networks and Radial Basis Functions in
Classifying Static Speech Patterns", CUED/F-INFENG/TR.22.

Steve Renals and Richard Rohwer, "Phoneme Classification Experiments
Using Radial Basis Functions", Submitted to the International Joint
Conference on Neural Networks, Washington, 1989.
\end{References}

