• DocumentCode
    3503501
  • Title

    Another approach for theoretical speech recognition method

  • Author

    Sugiyama, Shigeki

  • Author_Institution
    Univ. of Gifu, Gifu, Japan
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    2009
  • Lastpage
    2013
  • Abstract
    We speak languages sometimes fast and sometimes slowly. We sometimes even stop speaking suddenly, and change the topic and start speaking about another subject. And also, we sometimes speak to a person whom we have met for the first time. Even in these situations, we can happily understand one another what we are talking about. But if we apply some of today´s speech analysis methods in these situations mentioned above, we may totally get different answers or even cannot apply those methods. And what is worse, application of those methods are quite difficult and not understandable what will be the causes in a practice. So on this paper, I have tried to study a simple method which can apply to in the difficult situations mentioned above by using Vector Analysis Method and Back Propagation Neural Networks Method.
  • Keywords
    backpropagation; neural nets; speech recognition; back propagation neural networks method; speech analysis; theoretical speech recognition method; vector analysis method; Biological neural networks; Cities and towns; Frequency; Intelligent networks; Natural languages; Neural networks; Neurons; Signal analysis; Speech analysis; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5414916
  • Filename
    5414916