This paper presents a novel algorithm for automatic detection of Glottal Closure Instants
(GCI) from the speech signal. Our approach is based on a novel multiscale method that …

This paper presents the application of a radically novel approach, called the Microcanonical
Multiscale Formalism (MMF) to speech analysis. MMF is based on precise estimation of local …

Classical pitch-based perturbation measures, such as Jitter and Shimmer, are generally
based on detection algorithms of pitch marks which assume the existence of a periodic pitch …

Automatic speech recognition (ASR) systems have been based on probabilistic modeling of
the speech signal using Hidden Markov Models (HMMs). These models lead to the best …

This thesis presents an exploratory research on the application of a nonlinear multiscale
formalism, called the Microcanonical Multiscale Formalism (the MMF), to the analysis of …

In this thesis, we introduce a new approach to wavefront phase reconstruction in Adaptive
Optics (AO) from the low-resolution gradient measurements provided by a wavefront sensor …

Résumé Cette thèse présente une recherche exploratoire sur l'application du Formalisme
Microcanonique Multiéchelles (FMM) à l'analyse de la parole. Dérivé de principes issus en …