Vowel: Vowel Recognition (Deterding data)

In mlbench: Machine Learning Benchmark Problems

Vowel Recognition (Deterding data)

Description

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.

Usage

data("Vowel", package = "mlbench")

Format

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

Source

• Creator: Tony Robinson

• Maintainer: Scott E. Fahlman, CMU

These data have been taken from the UCI Repository Of Machine Learning Databases (Blake & Merz 1998) and were converted to R format by Evgenia Dimitriadou in the late 1990s.

The current version of the UC Irvine Machine Learning Repository Connectionist Bench Vowel Recognition Deterding Data data set is available from \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C58P4S")}.

References

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.

Blake, C.L. & Merz, C.J. (1998). UCI Repository of Machine Learning Databases. Irvine, CA: University of California, Irvine, Department of Information and Computer Science. Formerly available from ‘⁠http://www.ics.uci.edu/~mlearn/MLRepository.html⁠’.

Examples

data("Vowel", package = "mlbench")
summary(Vowel)

mlbench documentation built on May 29, 2024, 4:49 a.m.