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    %0 Journal Article
    %A Degottex, Gilles
    %A Lanchantin, Pierre
    %A Roebel, Axel
    %A Rodet, Xavier
    %T Mixed source model and its adapted vocal tract filter estimate for voice transformation and synthesis
    %D 2013
    %B Speech Communication
    %V 55
    %N 2
    %P 278-294
    %F Degottex13a
    %K Mixed source; Glottal model; Vocal tract filter; Voice quality; Voice transformation; Speech synthesis
    %X In current methods for voice transformation and speech synthesis, the vocal tract filter is usually assumed to be excited by a flat ampli- tude spectrum. In this article, we present a method using a mixed source model defined as a mixture of the Liljencrants–Fant (LF) model and Gaussian noise. Using the LF model, the base approach used in this presented work is therefore close to a vocoder using exogenous input like ARX-based methods or the Glottal Spectral Separation (GSS) method. Such approaches are therefore dedicated to voice pro- cessing promising an improved naturalness compared to generic signal models. To estimate the Vocal Tract Filter (VTF), using spectral division like in GSS, we show that a glottal source model can be used with any envelope estimation method conversely to ARX approach where a least square AR solution is used. We therefore derive a VTF estimate which takes into account the amplitude spectra of both deterministic and random components of the glottal source. The proposed mixed source model is controlled by a small set of intuitive and independent parameters. The relevance of this voice production model is evaluated, through listening tests, in the context of resyn- thesis, HMM-based speech synthesis, breathiness modification and pitch transposition.
    %1 1
    %2 2
    %U http://articles.ircam.fr/textes/Degottex13a/
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