• DocumentCode
    3776949
  • Title

    A study on automatic speech recognition toolkits

  • Author

    Prasant Kumar Sahu;D. Satya Ganesh

  • Author_Institution
    School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India
  • fYear
    2015
  • Firstpage
    365
  • Lastpage
    368
  • Abstract
    The applications of modern speech recognition are becoming more common with the demand of human-machine interactions. Many speech based interactive software applications were executed on the classical general purpose computers. This paper reports an overview about the different speech recognition systems and also about the different speech recognition tools such as HTK, CMU Sphinx, Kaldi and performance metrics of the toolkits.
  • Keywords
    "Speech recognition","Hidden Markov models","Speech","Acoustics","Training","Feature extraction","Decoding"
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Optical and Communication Engineering (ICMOCE), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMOCE.2015.7489768
  • Filename
    7489768