

Vowel(mlbench)                               R Documentation

_V_o_w_e_l _R_e_c_o_g_n_i_t_i_o_n _(_D_e_t_e_r_d_i_n_g _d_a_t_a_)

_D_e_s_c_r_i_p_t_i_o_n_:

     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.

_U_s_a_g_e_:

     data(Vowel)

_F_o_r_m_a_t_:

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

_S_o_u_r_c_e_:

        * Creator: Tony Robinson

        * Maintainer: Scott E. Fahlman, CMU

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

        * ftp.ics.uci.edu://pub/machine-learning-databases

        * http://www.ics.uci.edu/mlearn/MLRepository.html

     and were converted to R format by Evgenia.Dimitri-
     adou@ci.tuwien.ac.at.

_R_e_f_e_r_e_n_c_e_s_:

     D. H. Deterding, 1989, University of Cambridge,
     "Speaker Normalisation for Automatic Speech Recogni-
     tion", 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 Classifica-
     tion Experiments Using Radial Basis Functions", Submit-
     ted to the International Joint Conference on Neural
     Networks, Washington, 1989.

