Phase minimization for glottal model estimation 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 minimummaximumphase 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 vocaltract filter and therefore can be applied in voice transformation, synthesis and also in clinical context or for the study of the voice production.

Underdetermined Blind Source Separation for Hard Clipped Stereophonic Mixtures Underdetermined source separation becomes more challenging when the observed mixtures are distorted. A novel framework for source separation from mixtures affected by clipping distortion is presented. Our method exploits knowledge about the geometry of clipped mixtures when the sources are disjoint in time. This knowledge constrains a convex optimisation problem, which we formulate and solve to recover the sources. This paper develops work previously published substantially by implementing novel preprocessing steps inspired by geometric observations of clipped mixtures of timedisjoint sources. Evaluation experiments showed a significant increase in objective recovery performance for the proposed method compared with sequential approaches for speech and synthetic sources.