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 and 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 doi:10.24432/C58P4S.

References

Blake CL, Merz CJ (1998). “UCI Repository of Machine Learning Databases.” University of California, Irvine, Department of Information and Computer Science. Formerly available from ‘⁠http://www.ics.uci.edu/~mlearn/MLRepository.html⁠’. Deterding D (1990). Speaker Normalisation for Automatic Speech Recognition. Ph.D. thesis, University of Cambridge. Niranjan M, Fallside F (1990). “Neural Networks and Radial Basis Functions in Classifying Static Speech Patterns.” Computer Speech & Language, 4(3), 275–289. ISSN 0885-2308. doi:10.1016/0885-2308(90)90009-U. Renals S, Rohwer R (1989). “Phoneme Classification Experiments Using Radial Basis Functions.” In International 1989 Joint Conference on Neural Networks, volume 1, 461–467. doi:10.1109/IJCNN.1989.118620.

Examples

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