• DocumentCode
    3077526
  • Title

    A study on HMM based speech recognition system

  • Author

    Boruah, Saptarshi ; Basishtha, Subhash

  • Author_Institution
    Dept. of Inf. Technol., Assam Univ., Silchar, India
  • fYear
    2013
  • fDate
    26-28 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Speech is the best, old and natural mode of communication among the human being without using any tool. It is the easiest way to express human feelings. So if human speech could be used to communicate with computer then it is quiet helpful for human beings to interact with computer without using keyboard interface. Hence the most important goal of speech recognition is to enable human being to communicate with the computer more naturally and effectively by means of using some algorithm. This system changed the way of how to communicate with machine. By using this system we want to make the computer to be able to understand the spoken words as speech plays an important role for the interaction with the computer. This paper gives a basic overview of HMM based speech recognition system, how does it actually work. HMM stands for Hidden Markov Model which is basically a statistical model. The speech recognition system that we discuss here is based on this statistical model.
  • Keywords
    hidden Markov models; speech recognition; HMM based speech recognition system; hidden Markov model; human feelings; human speech; spoken words; statistical model; Acoustics; Computational modeling; Feature extraction; Hidden Markov models; Speech; Speech recognition; Vocabulary; HMM; Speech recognition; acoustic; phoneme; speaker;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
  • Conference_Location
    Enathi
  • Print_ISBN
    978-1-4799-1594-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2013.6724147
  • Filename
    6724147