• DocumentCode
    179857
  • Title

    Robust full-band adaptive Sinusoidal analysis and synthesis of speech

  • Author

    Kafentzis, George P. ; Rosec, Olivier ; Stylianou, Yannis

  • Author_Institution
    TECH/ACTS/MAS, Orange Labs., Lannion, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6260
  • Lastpage
    6264
  • Abstract
    Recent advances in speech analysis have shown that voiced speech can be very well represented using quasi-harmonic frequency tracks and local parameter adaptivity to the underlying signal. In this paper, we revisit the quasi-harmonicity approach through the extended adaptive Quasi-Harmonic Model - eaQHM, and we show that the application of a continuous f0 estimation method plus an adaptivity scheme can yield high resolution quasi-harmonic analysis and perceptually indistinguishable resynthesized speech. This method assumes an initial harmonic model which successively converges to quasi-harmonicity. Formal listening tests showed that eaQHM is robust against f0 estimation artefacts and can provide a higher quality in resynthesizing speech, compared to a recently developed model, called the adaptive Harmonic Model (aHM), and the standard Sinusoidal Model (SM).
  • Keywords
    estimation theory; speech processing; speech synthesis; adaptive harmonic model; continuous estimation method; eaQHM; extended adaptive quasi-harmonic model; formal listening tests; full-band adaptive sinusoidal analysis; high resolution quasi-harmonic analysis; local parameter adaptivity; quasi-harmonic frequency tracks; speech analysis; speech synthesis; standard sinusoidal model; Adaptation models; Analytical models; Atmospheric modeling; Harmonic analysis; Speech; Speech processing; Time-frequency analysis; Extended adaptive quasi-harmonic model; Sinusoidal modelling; Speech analysis; Speech modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854808
  • Filename
    6854808