Accurate estimation of the glottal source from a voiced sound is a difficult blind separation problem in speech signal processing. In this work, state-space methods are investigated to enhance the joint estimation of the glottal source and the vocal tract information. The aim of this paper is twofold. First, a stochastic glottal source is proposed, based on deterministic Liljencrants–Fant model and ruled by a stochastic difference equation. Such a representation allows to accurately capture any perturbation occurring at glottal level in real voices. A state-space voice model is formulated considering the stochastic glottal source. Then, combining this voice model and the state-space framework, an inverse filtering method is developed that a...
International audienceA new type of glottal flow model, namely a causal-anticausal linear filter mod...
This paper presents a new glottal inverse filtering (GIF) method that utilizes a Markov chain Monte ...
Glottal source information has been proven useful in many applications such as speech synthesis, spe...
Abstract—In this work, we present a joint source-filter op-timization approach for separating voiced...
Estimating glottal source waveforms and vocal tract shapes is typically done by processing the speec...
cote interne IRCAM: Degottex13aNone / NoneNational audienceIn current methods for voice transformati...
The widely used method to estimate glottal source waveform and vocal tract shape is to process speec...
Abstract: Source-tract decomposition (or glottal flow estimation) is one of the basic problems of sp...
International audienceThe novel stochastic model to produce voiced sounds proposed in this paper use...
A new algorithm for glottal source parameter estimation of voiced speech based on the Liljencrants-F...
International audienceSource-filter paradigm is one of the most common approaches used by the scient...
This paper presents two approaches to the problem of ex-tracting the parameters of the LF source mod...
This paper studies the use of glottal inverse filtering together with a biomechanical model of the v...
Trabajo presentado al 8th European Conference on Speech Communication and Technology (EUROSPEECH 200...
The linear source-filter model (LSFM) has been used as a primary model for speech processing since 1...
International audienceA new type of glottal flow model, namely a causal-anticausal linear filter mod...
This paper presents a new glottal inverse filtering (GIF) method that utilizes a Markov chain Monte ...
Glottal source information has been proven useful in many applications such as speech synthesis, spe...
Abstract—In this work, we present a joint source-filter op-timization approach for separating voiced...
Estimating glottal source waveforms and vocal tract shapes is typically done by processing the speec...
cote interne IRCAM: Degottex13aNone / NoneNational audienceIn current methods for voice transformati...
The widely used method to estimate glottal source waveform and vocal tract shape is to process speec...
Abstract: Source-tract decomposition (or glottal flow estimation) is one of the basic problems of sp...
International audienceThe novel stochastic model to produce voiced sounds proposed in this paper use...
A new algorithm for glottal source parameter estimation of voiced speech based on the Liljencrants-F...
International audienceSource-filter paradigm is one of the most common approaches used by the scient...
This paper presents two approaches to the problem of ex-tracting the parameters of the LF source mod...
This paper studies the use of glottal inverse filtering together with a biomechanical model of the v...
Trabajo presentado al 8th European Conference on Speech Communication and Technology (EUROSPEECH 200...
The linear source-filter model (LSFM) has been used as a primary model for speech processing since 1...
International audienceA new type of glottal flow model, namely a causal-anticausal linear filter mod...
This paper presents a new glottal inverse filtering (GIF) method that utilizes a Markov chain Monte ...
Glottal source information has been proven useful in many applications such as speech synthesis, spe...