no code implementations • 7 Aug 2015 • Rimah Amami, Noureddine Ellouze
In this paper, we have analyzed the impact of confusions on the robustness of phoneme recognitions system.
no code implementations • 22 Jul 2015 • Rimah Amami, Ghaith Manita, Abir Smiti
This maintenance database approach is used in order to handle any given noisy speech and, thus, to guarantee the quality of databases.
no code implementations • 22 Jul 2015 • Rimah Amami, Dorra Ben Ayed, Noureddine Ellouze
It is known that the classification performance of Support Vector Machine (SVM) can be conveniently affected by the different parameters of the kernel tricks and the regularization parameter, C. Thus, in this article, we propose a study in order to find the suitable kernel with which SVM may achieve good generalization performance as well as the parameters to use.
no code implementations • 22 Jul 2015 • Rimah Amami, Dorra Ben Ayed, Noureddine Ellouze
In this article, we conduct a study on the performance of some supervised learning algorithms for vowel recognition.
no code implementations • 22 Jul 2015 • Rimah Amami, Dorra Ben Ayed, Nouerddine Ellouze
The main idea of this algorithm is based on the principle of the margin maximization to find an hyperplane which separates the data into two different classes. In this paper, SVM is applied to phoneme recognition task.
no code implementations • 22 Jul 2015 • Rimah Amami, Dorra Ben Ayed, Noureddine Ellouze
The use of digital technology is growing at a very fast pace which led to the emergence of systems based on the cognitive infocommunications.