• DocumentCode
    813278
  • Title

    Estimating the intrinsic dimensionality of discrete utterances

  • Author

    Baydal, Elvira ; Andreu, Gabriela ; Vidal, Enrique

  • Author_Institution
    Univ. Politecnia de Albacete, Spain
  • Volume
    37
  • Issue
    5
  • fYear
    1989
  • fDate
    5/1/1989 12:00:00 AM
  • Firstpage
    755
  • Lastpage
    757
  • Abstract
    The intrinsic dimensionally (ID) of different sets of isolated word utterances is estimated through a method recently proposed by K.W. Pettis et al. (1979). This results show ID values ranging from 3 to 15, which are consistent with the intuitive degree of difficulty associated to the sets considered. Also, some speculative applications of ID estimating are discussed.<>
  • Keywords
    speech recognition; discrete utterances; intrinsic dimensionality; isolated word utterances; speech recognition; Delta modulation; Filters; Loudspeakers; Pattern analysis; Pattern recognition; Psychology; Signal processing algorithms; Speech; Time domain analysis; Vocabulary;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.17567
  • Filename
    17567
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=813278