• DocumentCode
    3776946
  • Title

    Automatic speech recognition based Odia system

  • Author

    Biswajit Karan;Jayaprakash Sahoo;P. K. Sahu

  • Author_Institution
    School of Electrical Science, IIT Bhubaneswar
  • fYear
    2015
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    In this paper, we presents a scheme of implementation of automatic speech recognition system using Odia language. The proposed system is realized using Kaldi toolkit for automatic recognition of district models of the state of Odisha. We investigate the monophone and triphone model for Odia speech recognition. Acoustic modeling of Odia speech recognition was performed using HMM and GMM. A significant reduction in word error rate (WER) was observed using the triphone model. We report the preliminary speech recognition results using Kaldi speech toolkit.
  • Keywords
    "Hidden Markov models","Speech recognition","Speech","Acoustics","Error analysis","Feature extraction","Context modeling"
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Optical and Communication Engineering (ICMOCE), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMOCE.2015.7489765
  • Filename
    7489765