The aim of this paper is to introduce class of stable distributions as a potentional tool for statistical modelling of features extracted from speech signals. Alpha-stable distributions are generalization of the Gaussian distribution therefore they can be used in modeling of more variety of different problems. It is described why can stable distributions be useful in speech processing and potential useful applications are proposed for feature extractions and reduction
The efficiency of many speech processing methods rely on accurate modeling of the distribution of th...
International audienceMatrix factorization (MF) models have been widely used in data analysis. Even ...
International audiencehis paper focuses on single-channel semi-supervised speech en-hancement...
The aim of this paper is to introduce class of stable distributions as a potentional tool for statis...
This paper concerns the estimation of the parameters that describe a stable distribution. Stable dis...
In this paper, first we introduce the stable distribution, stable process and theirs characteristics...
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this let...
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this pap...
Abstract-The Gaussian distribution is the most commonly used statistical model of the speech signal....
En traitement du signal audio, le signal observé est souvent supposé être égal à la somme des signau...
In this study, we propose a novel probabilistic model for separating clean speech signals from noisy...
In view of the non-Gaussian of ocean ambient noise, the stable distribution is applied to the stati...
The alpha-stable family of distributions constitutes a generalization of the Gaussian distribution, ...
This textbook highlights the many practical uses of stable distributions, exploring the theory, nume...
We show that estimation of parameters for the popular Gaussian model of speech in noise can be regul...
The efficiency of many speech processing methods rely on accurate modeling of the distribution of th...
International audienceMatrix factorization (MF) models have been widely used in data analysis. Even ...
International audiencehis paper focuses on single-channel semi-supervised speech en-hancement...
The aim of this paper is to introduce class of stable distributions as a potentional tool for statis...
This paper concerns the estimation of the parameters that describe a stable distribution. Stable dis...
In this paper, first we introduce the stable distribution, stable process and theirs characteristics...
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this let...
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this pap...
Abstract-The Gaussian distribution is the most commonly used statistical model of the speech signal....
En traitement du signal audio, le signal observé est souvent supposé être égal à la somme des signau...
In this study, we propose a novel probabilistic model for separating clean speech signals from noisy...
In view of the non-Gaussian of ocean ambient noise, the stable distribution is applied to the stati...
The alpha-stable family of distributions constitutes a generalization of the Gaussian distribution, ...
This textbook highlights the many practical uses of stable distributions, exploring the theory, nume...
We show that estimation of parameters for the popular Gaussian model of speech in noise can be regul...
The efficiency of many speech processing methods rely on accurate modeling of the distribution of th...
International audienceMatrix factorization (MF) models have been widely used in data analysis. Even ...
International audiencehis paper focuses on single-channel semi-supervised speech en-hancement...