• DocumentCode
    3421716
  • Title

    Tandem-STRAIGHT: A temporally stable power spectral representation for periodic signals and applications to interference-free spectrum, F0, and aperiodicity estimation

  • Author

    Kawahara, H. ; Morise, M. ; Takahashi, T. ; Nisimura, R. ; Irino, T. ; Banno, H.

  • Author_Institution
    Fac. of Syst. Eng., Wakayama Univ., Wakayama
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3933
  • Lastpage
    3936
  • Abstract
    A simple new method for estimating temporally stable power spectra is introduced to provide a unified basis for computing an interference-free spectrum, the fundamental frequency (F0), as well as aperiodicity estimation. F0 adaptive spectral smoothing and cepstral liftering based on consistent sampling theory are employed for interference-free spectral estimation. A perturbation spectrum, calculated from temporally stable power and interference-free spectra, provides the basis for both F0 and aperiodicity estimation. The proposed approach eliminates ad-hoc parameter tuning and the heavy demand on computational power, from which STRAIGHT has suffered in the past.
  • Keywords
    adaptive estimation; adaptive signal processing; cepstral analysis; interference (signal); signal sampling; smoothing methods; speech processing; speech synthesis; TANDEM-STRAIGHT; adaptive spectral smoothing; aperiodicity estimation; cepstral liftering; consistent sampling theory; interference-free spectral estimation; periodic signal power spectral representation; perturbation spectrum; speech processing; Filters; Fourier transforms; Frequency estimation; Interference; Sampling methods; Signal sampling; Speech analysis; Speech synthesis; Testing; Transfer functions; consistent sampling; periodic signal; periodicity; power spectrum; speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518514
  • Filename
    4518514