Abstract-In glottal source analysis, the phase minimization criterion has already been proposed to detect excitation instants. As shown in this article, this criterion can also be used to estimate the shape parameter of a glottal model (ex. LiljencrantsFant model) and not only its time position. Additionally, we show that the shape parameter can be estimated independently of the glottal model position. The reliability of the proposed methods is evaluated with synthetic signals and compared to that of the IAIF and minimum/maximum-phase decomposition methods. The results of the methods are evaluated according to the influence of the fundamental frequency and noise. The estimation of a glottal model is useful for the separation of the glottal source and the vocal-tract filter and therefore can be applied in voice transformation, synthesis and also in clinical context or for the study of the voice production.
Sound recordings include transients and sustained parts. Their analysis with a basis expansion is not rich enough to represent e ciently all such components. Pursuit algorithms choose the decomposition vectors depending upon the signal properties. The dictionary among which these vectors are selected is much larger than a basis. Matching Pursuit is fast to compute, but can provide coarse representations. Basis Pursuit gives a better representation but is very expensive in terms of calculation time. This paper develops a High Resolution Matching Pursuit : it is a fast, high time-resolution, time-frequency analysis algorithm, that makes it likely to be used for musical applications.
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