• DocumentCode
    1722197
  • Title

    Automatic marking of Punjabi syllables boundaries in a sound file

  • Author

    Kaur, Amanpreet ; Singh, Parminder ; Rattan, Dhavleesh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., RIMT-IET, Mandi Gobindgarh, India
  • Volume
    3
  • fYear
    2010
  • Abstract
    Automatic Speech segmentation is one of the foremost important field for controlling the simulation of speech without intervening of human being. Segmenting the continuous speech signal according to the phonetic transcription is a fundamental task in any voice activated system. Manual segmentation is tedious, time consuming and error prone. Automatic segmentation is not faultless, but it is inherently consistent and results are reproducible. In spite of the endless efforts made in this field, there is no Speech Segmentation System in the market for Punjabi on large vocabulary, though speaker independent systems are available for the languages like English, Tamil. It is a well known fact Syllable based systems perform better than phoneme or word based systems. In our work, we are presenting an effective method for segmentation of Punjabi Speech into syllable like Basic units for ASR systems.
  • Keywords
    natural language processing; speech recognition; Punjabi syllables boundary automatic marking; automatic speech recognition; automatic speech segmentation; phonetic transcription; sound file; speech segmentation system; voice activated system; Acoustics; Labeling; Speech; Speech processing; Speech recognition; Vocabulary; Segmentation; Short term energy; Syllables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555799
  • Filename
    5555799