Larbi Mesbahi

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The purpose of this paper is to study the behavior of voice conversion systems based on gaussian mixture model (GMM) when reducing the size of the training data corpus. Our first objective is to locate the threshold of degradation on the training corpus from which the error of conversion becomes too important. Secondly, we seek to observe the behavior of(More)
In this paper, we present an extended form of the radial basis function network called temporalradial basis function network. This extended network is used in decision rules and classification in spatio-temporal domain applications like speech recognition, economic fluctuations, seismic measurements and robotics applications. We found that such a network(More)
This article deals with a study on GMM-based voice conversion systems. We compare the main linear conversion functions found in the literature on an identical speech corpus. We insist in particular on the risks of over-fitting and oversmoothing. We propose three alternatives for robust conversion functions in order to minimize these risks. We show, on two(More)
This paper investigates the reliability of phonetic boundaries obtained through automatic segmentation of non-native speech for automatic prosodic feedback for foreign language learning. Indeed, prosodic feedback requires checking the fundamental frequency and the duration of phonetic segments of the learner utterances with respect to some reference(More)
The success of future syste ms for computer assisted foreign language learning relies on providing the learner personalized diagnosis and relevant corrections of its pronunciations. After a presentation of the problem of reliable automatic prosodic feedbacks in language learning, we present our work related to the processing of some errors stemming from the(More)
Many research topics in speech processing face the same difficult problem, how to create cheaply (or quickly) a parallel corpuswhich associates the acoustic realizations of two speakers having pronounced the same linguistic content. Among those topics are voice conversion techniques and some aspects of speech and speaker recognition. In the context of voice(More)
We present in this article, the realisation of reactive navigation module based on neural networks Like Temporal Radial Basis Functions (TRBF), with respect of security constraints and inherent robustness while using an Orthogonal Least Square algorithm (OLS). Applied to a structured type like interior of building, the mobile robot must assure its task of(More)
Introduction A successful speech recognition system has to determine features not only present in the input pattern at one point in time, but also features of input pattern changing over time ( e.g., Berthold, 1994; Benyettou, 1995). In network design, great importance must be attributed to correct choice of the number of hidden neurons, which helps(More)