• DocumentCode
    310983
  • Title

    Inverse filter approach to pitch modification: application to concatenative synthesis of female speech

  • Author

    Ansari, Rashid

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    1623
  • Abstract
    A new method for modifying the pitch of units of recorded female speech is described. This method was developed to overcome limitations in an otherwise promising technique called residual-excited linear prediction (RELP). In the new method, the stored speech unit is processed with a suitably shaped time-varying filter. The filtered signal is modified according to the required change in the fundamental frequency. The modified filtered signal is applied to the inverse of the above-mentioned prefilter. Based on observations of spectra of multiple recordings of the same speech unit at different pitch frequencies, the magnitude response of the inverse filter was chosen to have a significantly less peaky structure than that which is typically obtained in LPC. Speech modifications using this method were found to be superior in quality to those obtained by RELP, while at the same time being less sensitive than RELP to changes in pitch marking
  • Keywords
    filtering theory; inverse problems; prediction theory; speech intelligibility; speech processing; speech synthesis; time-varying filters; LPC; RELP; concatenative synthesis; fundamental frequency; inverse filter approach; magnitude response; modified filtered signal; pitch frequencies; pitch marking; pitch modification; prefilter; recorded female speech; residual excited linear prediction; spectra; speech processing; speech quality; speech synthesis; stored speech unit; time varying filter; Databases; Electronic mail; Eyes; Filters; Frequency; Linear predictive coding; Man machine systems; Mobile communication; Speech processing; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.598811
  • Filename
    598811