• DocumentCode
    2016502
  • Title

    Analysis of Algorithms for Phrase Recognition

  • Author

    Mirza, J.S. ; Umair, Muhammad ; Hayat, S.A. ; Hussain, Asif

  • Author_Institution
    Dept. of Comput. Sci., COMSATS Inst. of Inf. Technol., Lahore
  • fYear
    2005
  • fDate
    24-25 Dec. 2005
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Three algorithms, designed to recognize vowels, are analyzed for their complexity class or growth pattern. First a databank was prepared from vowel loops of Peterson and Barney (1952) which was used for vowel recognition. The above three algorithms produced the same vowel-recognition rate of more than 78% on a given short phrase. This paper submits the result of our analysis of the three algorithms to investigate their growth pattern and decide which of the three is the fastest in making decision of vowel recognition. The simple system of vowel recognition, presented in this paper, which leads to phrasal recognition, can serve the purpose of automatic recognition of short phrases in a long wire-tapped message. The phrasal recognition can be advantageous to do a preliminary study whether or not a wire-tapped long message contained phrases of interest. If it does the intelligence agent can get primed to scrutinize the entire message. This scheme can spare a lot of time of heavily loaded intelligence agent deputed to do wire-tapping
  • Keywords
    computational complexity; speaker recognition; computational complexity; intelligence agent; long wire-tapped message; phrase recognition; vowel recognition; Algorithm design and analysis; Computer science; Educational institutions; Government; Intelligent agent; Pattern analysis; Pattern recognition; Speech analysis; Speech recognition; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    9th International Multitopic Conference, IEEE INMIC 2005
  • Conference_Location
    Karachi
  • Print_ISBN
    0-7803-9429-1
  • Electronic_ISBN
    0-7803-9430-5
  • Type

    conf

  • DOI
    10.1109/INMIC.2005.334417
  • Filename
    4133432