Vowel                package: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

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

        *  <URL: http://www.ics.uci.edu/~mlearn/MLRepository.html>

     and were converted to R format by
     Evgenia.Dimitriadou@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 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.

