most citedPractical Selection of SVM Supervised Parameters with Different Feature Representations for Vowel Recognition

38 citations · 51 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2015

Study of Phonemes Confusions in Hierarchical Automatic Phoneme Recognition System

Rimah Amami, Noureddine Ellouze

In this paper, we have analyzed the impact of confusions on the robustness of phoneme recognitions system. The confusions are detected at the pronunciation and the confusions matri…

cs.CL2015★ 3 cited

The challenges of SVM optimization using Adaboost on a phoneme recognition problem

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. The expansion of this sector impose th…

cs.CL2015★ 3 cited

Incorporating Belief Function in SVM for Phoneme Recognition

Rimah Amami, Dorra Ben Ayed, Nouerddine Ellouze

The Support Vector Machine (SVM) method has been widely used in numerous classification tasks. The main idea of this algorithm is based on the principle of the margin maximization…

cs.CL2015★ 1 cited

Robust speech recognition using consensus function based on multi-layer networks

Rimah Amami, Ghaith Manita, Abir Smiti

The clustering ensembles mingle numerous partitions of a specified data into a single clustering solution. Clustering ensemble has emerged as a potent approach for ameliorating bot…

cs.CL2015★ 6 cited

An Empirical Comparison of SVM and Some Supervised Learning Algorithms for Vowel recognition

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. This study aims to compare the accuracy of each algorithm. Thus…

cs.CL2015★ 38 cited

Practical Selection of SVM Supervised Parameters with Different Feature Representations for Vowel Recognition

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…