Vowel {mlbench}R Documentation

Vowel Recognition (Deterding data)


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.




A data frame with 990 observations on 10 independent variables, one nominal and the other numerical, and 1 as the target class.


These data have been taken from the UCI Repository Of Machine Learning Databases at

and were converted to R format by Evgenia.Dimitriadou@ci.tuwien.ac.at.


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.

[Package mlbench version 1.0-0 Index]