• DocumentCode
    3659676
  • Title

    Transcription of Telugu TV news using ASR

  • Author

    M. Ram Reddy;P. Laxminarayana;A. V. Ramana; Markandeya J L;J N V S Indu Bhaskar;B. Harish;S. Jagadheesh;E. Sumalatha

  • Author_Institution
    Research and Training Unit for Navigational Electronics, Osmania University, Hyderabad, India
  • fYear
    2015
  • Firstpage
    1542
  • Lastpage
    1545
  • Abstract
    Automatic Speech Recognition (ASR) is the process of converting the human speech which is in the form of acoustic waveform, into text. In this paper we discussed about building an automatic speech recognition system for Telugu news. A Telugu speech database is prepared along with the transcription, dictionary. Telugu speech files are collected from the Telugu TV news channels. Most of the selected sentences are recorded in studio environment and some of the speech files are having non predictable back ground noise. Wavsurfer is used to make the speech in to small sentences. CMU SPHINX tool kit is used to develop the ASR system. The recognized text file is finally displayed using Baraha software (demo version).
  • Keywords
    "Speech","Speech recognition","Hidden Markov models","Dictionaries","Acoustics","Training","Databases"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
  • Print_ISBN
    978-1-4799-8790-0
  • Type

    conf

  • DOI
    10.1109/ICACCI.2015.7275832
  • Filename
    7275832
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3659676