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Dorra Ben Ayed

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedImproved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states

11 citations · 14 across the 3 of their papers we have counts for

collaborators

3 papers

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.CL2014

On the Use of Different Feature Extraction Methods for Linear and Non Linear kernels

Imen Trabelsi, Dorra Ben Ayed

The speech feature extraction has been a key focus in robust speech recognition research; it significantly affects the recognition performance. In this paper, we first study a set…

cs.CL2014★ 11 cited

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…

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