• DocumentCode
    3096288
  • Title

    Another approach for theoretical recognition method (II)

  • Author

    Sugiyama, Shigeki

  • Author_Institution
    Sch. of Eng., Univ. of Gifu, Gifu, Japan
  • fYear
    2010
  • fDate
    15-17 June 2010
  • Firstpage
    1724
  • Lastpage
    1729
  • 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 even though the speech signals wave forms are independent one another. 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 it is not understandable what will be the causes in a practice situation. 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, which mainly focuses on “Word feedback and Sentence feedback”.
  • Keywords
    backpropagation; natural language processing; neural nets; speech recognition; back propagation neural networks method; sentence feedback; speech analysis methods; speech signals waveforms; theoretical recognition method (II); vector analysis method; word feedback; Biological neural networks; Cities and towns; Feeds; Humans; Intelligent networks; Natural languages; Neurofeedback; Neurons; Speech analysis; Speech recognition; BPNN; fast method; sentence feedback; speech recognition; syllable feedback; word feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4244-5045-9
  • Electronic_ISBN
    978-1-4244-5046-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2010.5515269
  • Filename
    5515269