• DocumentCode
    3080688
  • Title

    Speaker Independent Speech Recognition Implementation with Adaptive Language Models

  • Author

    Anukriti ; Tiwari, Sunita ; Chatterjee, Trisha ; Bhattacharya, Mahua

  • Author_Institution
    Inf. Technol., ABV-IIITM, Gwalior, India
  • fYear
    2013
  • fDate
    24-26 Aug. 2013
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    Speech recognition system is the method of implementing protocols and codes to enable a machine to take sound waves in the form of input, interpret it and formulate the desired output. In this paper, a method has been proposed to build up a speech recognition system which could interpret in any language (tested with Hindi and Bengali language) and implement it on Windows 7 platform which could be speaker independent i.e. recognition of voice irrespective of any random speaker.
  • Keywords
    natural language processing; operating systems (computers); speech recognition; Bengali language; Hindi language; Windows 7 platform; adaptive language models; speaker independent speech recognition system; voice recognition; Dictionaries; Engines; Hidden Markov models; Signal processing algorithms; Speech; Speech processing; Speech recognition; Language Models; Speech Recognition; Windows 7; hidden markov model; phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Business Intelligence (ISCBI), 2013 International Symposium on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-0-7695-5066-4
  • Type

    conf

  • DOI
    10.1109/ISCBI.2013.9
  • Filename
    6724313
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3080688