• DocumentCode
    2238622
  • Title

    Mandarin isolated words recognition method based on pitch contour

  • Author

    Chunming Wei ; Yingchun Yang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    143
  • Lastpage
    147
  • Abstract
    In this paper, we attempt to use pitch contour in Mandarin isolated words recognition by matching candidate pitch contour with a set of templates. To apply it in speaker-independent speech recognition, we propose a remedy algorithm to weaken speaker information in pitch contour. Speaker-dependent and - independent speech recognition experiments are carried out to evaluate performance of pitch contour and MFCC. Score fusion of MFCC and revised pitch contour are implemented. Experimental results demonstrate that pitch contour performs comparably with MFCC in speaker-dependent speech recognition. Through score fusion, the revised pitch contour helps in improving performance in speaker-independent speech recognition.
  • Keywords
    cepstral analysis; natural language processing; pattern matching; speech recognition; MFCC score fusion; Mandarin isolated word recognition method; candidate pitch contour matching; pitch contour; pitch contour performance evaluation; remedy algorithm; speaker information; speaker-independent speech recognition experiments; Databases; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Speech processing; Speech recognition; Mandarin isolated words recognition; Pitch contour; Remedy algorithm; Template based approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664385
  • Filename
    6664385