• DocumentCode
    3391677
  • Title

    Text-independent pronunciation evaluation based on phone-level Gaussian classifier

  • Author

    Geng, Jie ; Miao, Zhenjiang

  • Author_Institution
    Inst. of Inf. Sci., Beijing JiaoTong Univ., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    557
  • Lastpage
    560
  • Abstract
    This paper presents a novel text-independent pronunciation evaluation method. The method aims at testing the mandarin Putonghua pronunciation proficiency of the dialectal speakers from every area of China. In the proposed method, 5 pronunciation proficiency levels are assigned for each phone; accordingly, 5 Single Gaussian classifiers are created to represent the 5 levels for a phone. 4 phone-level features are described and used in the classifiers. In the testing step, phone-level output probabilities are combined to get the sentence-level likelihood.
  • Keywords
    pattern classification; speech processing; text analysis; dialectal speakers; phone level Gaussian classifier; pronunciation proficiency; text independent pronunciation evaluation; Correlation; Equations; Feature extraction; Humans; Support vector machine classification; Testing; Training; Gaussian classifier; dialectal speech; phone-level features; pronunciation evaluation; text-independent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655117
  • Filename
    5655117