• DocumentCode
    1644671
  • Title

    Design of an Urdu speech recognizer based upon acoustic phonetic modeling approach

  • Author

    Akram, M.U. ; Arif, M.

  • Author_Institution
    Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
  • fYear
    2004
  • Firstpage
    91
  • Lastpage
    96
  • Abstract
    Automatic speech recognition (ASR) is one of the most developing fields of the modern science. It has many important applications in our social life as well as many areas of scientific disciplines like computer science, and media. The main aim of this paper is to analyze and implement different techniques of speech recognition like pattern-matching or acoustic phonetic modeling to Urdu language. A prototype has been developed which recognizes the continuous Urdu speech with 55 to 60% accuracy.
  • Keywords
    pattern matching; speech processing; speech recognition; Urdu speech recognizer; acoustic phonetic modeling approach; automatic speech recognition; pattern-matching; Acoustical engineering; Automatic speech recognition; Design engineering; Discrete cosine transforms; Natural languages; Pattern matching; Pattern recognition; Speech analysis; Speech recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
  • Print_ISBN
    0-7803-8680-9
  • Type

    conf

  • DOI
    10.1109/INMIC.2004.1492852
  • Filename
    1492852
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1644671