• DocumentCode
    2394003
  • Title

    Short Utterance Speaker Recognition A research Agenda

  • Author

    Fatima, Nakhat ; Zheng, Thomas Fang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    1746
  • Lastpage
    1750
  • Abstract
    Short Utterance Speaker Recognition (SUSR) is an important area of speaker recognition when only small amount of speech data is available for testing and training. We list the most commonly used state-of-the-art methods of speaker recognition and the significance of prosodic speaker recognition. A short survey of SUSR is hereby conducted, highlighting various methodologies when using short utterances to recognize speakers. We also specify future research directions in the field SUSR which, together with modern technologies and the ongoing research in prosodic speaker recognition, can lead to better results in speaker recognition.
  • Keywords
    speaker recognition; SUSR; prosodic speaker recognition; short utterance speaker recognition; speech data; Acoustics; Hidden Markov models; Humans; Speaker recognition; Speech; Speech recognition; Training; Phoneme Categories; Prosodic Speaker Recognition; Short Utterance Speaker Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223381
  • Filename
    6223381