• DocumentCode
    239777
  • Title

    Instantaneous pitch estimation based on empirical wavelet transform

  • Author

    Yusheng Li ; Biao Xue ; Hong Hong ; Xiaohua Zhu

  • Author_Institution
    Sch. of Electron. & Opt. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    20-23 Aug. 2014
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    In this paper, a novel approach is proposed specially for capturing the instantaneous pitch that may reveals some innate character of the speech. Firstly, the original signal is decomposed into several modes with empirical wavelet transform, and then the mode containing the pitch is picked out, finally the instantaneous pitch is calculated via Hilbert transform. Intensive evaluation and direct comparisons with existing method are conducted with the standard Chinese and English speech database, all showing the effectiveness of the proposed method in acquiring the instantaneous pitch.
  • Keywords
    Hilbert transforms; speech processing; wavelet transforms; Chinese speech database; English speech database; Hilbert transform; empirical wavelet transform; instantaneous pitch estimation; intensive evaluation; signal decomposition; speech character; Databases; Digital signal processing; Estimation; Speech; Speech processing; Wavelet transforms; empirical wavelet transform; hilbert transform; instantaneous pitch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2014 19th International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICDSP.2014.6900838
  • Filename
    6900838