38 citations · 63 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
Improved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states
Imen Trabelsi, Dorra Ben Ayed, Noureddine Ellouze
The purpose of speech emotion recognition system is to classify speakers utterances into different emotional states such as disgust, boredom, sadness, neutral and happiness. Speech…