247 citations
- Tunis El Manar UniversityTN26 papers
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- Laboratoire d'Automatique, Génie Informatique et SignalFR5 papers
- National Institute of Applied Science and TechnologyTN4 papers
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Showing 2014 · cs.CLShow all
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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…