• DocumentCode
    118576
  • Title

    An overview of robustness related issues in speaker recognition

  • Author

    Zheng, Thomas Fang ; Qin Jin ; Lantian Li ; Jun Wang ; Fanhu Bie

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Speaker recognition technologies have been improved rapidly in recent years. However, critical robustness issues need to be addressed when they are applied in practical situations. This paper provides an overview of technologies dealing with robustness related issues in automatic speaker recognition. We first categorize the robustness issues into three categories, including environment-related, speaker-related and application-oriented issues. For each category, we then describe the current hot topics, existing technologies, and potential research focuses in the future.
  • Keywords
    speaker recognition; application-oriented issue; automatic speaker recognition technology; environment-related issue; robustness related issue; speaker-related issue; Data models; Hidden Markov models; Robustness; Speaker recognition; Speech; Speech recognition; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
  • Conference_Location
    Siem Reap
  • Type

    conf

  • DOI
    10.1109/APSIPA.2014.7041826
  • Filename
    7041826