• DocumentCode
    1318005
  • Title

    Attractor dimension, entropy and modelling of speech time series

  • Author

    Kumar, Ajit

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
  • Volume
    26
  • Issue
    21
  • fYear
    1990
  • Firstpage
    1790
  • Lastpage
    1792
  • Abstract
    Using the correlation dimension it is shown that most speech time series in the form of phoneme utterances have low-dimensional attractors. The positive values of second-order entropy show their chaotic nature. A reconstruction approach to the vocal tract and speech modelling problem is proposed.
  • Keywords
    entropy; speech analysis and processing; speech recognition; time series; correlation dimension; low-dimensional attractors; phoneme utterances; reconstruction approach; second-order entropy; speech modelling; speech time series; vocal tract;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19901147
  • Filename
    83114
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1318005