Qualifications: Ph.D. in Digital Signal Processing from Tunis National School of Engineers, University of El Manar, Tunisia. Research Master (DEA) in Automatics and Signal Processing, Tunis National School of Engineers, University of El Manar, Tunisia.
Monia Kammoun is an Assistant Professor in Digital Signal Processing and Pattern Recognition since 2003, she has accumulated years of experience in higher education, scientific research, and supervision.
She started her AI research in 2000 with an application based on the DTW algorithm for deafness recognition from recorded human voices for speech audiometry.
In 2003, she used the SUSAS database for my PhD research based on the classification of different types of stress. This database, provided by the US Air Force, contains samples of military voices under different stress conditions.
She is also part of the AI and Robotics lab at ENIM, she supervises Master's research in Stress and Emotion Recognition.
Being part of the #smu #MedTech family since 2014, she equipped the ECE LAb with the ELVIS Stations and Labview Multisim. Thus, she got invited to the National Instruments conference held in Beirut in 2016 to share the MEDTECH success story of using NI Elvis stations in teaching pre-engineering programs.
Certified Agile Scrum Master, Product Owner, SAFe Agilist ITIL 4 and PRINCE2 Foundation, she provides remote and in person training training in Tunisia, Sub-Saharan Africa, and France.
M. KAMMOUN, N. ELLOUZE, « Impact of Spectral and Prosodic Features on the enhancement of HMM Based Recognition Classifier » publiée au GESTS Transaction, Global Engineering, Science and Technology Society, the international transaction on communication and signal processing, Vol. 13 and N°2, ISSN 1738-9682, Février 2009.
M. KAMMOUN, N. ELLOUZE, « Combining Prosodic and Spectral Features for Emotion and Speaking Styles Recognition » WSEAS Transaction Journal on Signal Processing, Vol. 2, pp. 819-825, ISSN 1790-5022, May 2006.
M. KAMMOUN, N. ELLOUZE, «Using Tuned HMM-Based Classifier for Emotion and Speaking Styles Recognition», acceptée au International Conference on Signal Processing, ICSP 2009, 29-31 Juillet 2009, Oslo, Norway.
M. KAMMOUN, N. ELLOUZE, « Shimmer and Jitter Investigations for Stress and Speaking Styles Classification», acceptée au 5th IEEE-GCC 2009- Communications and Signal Processing, GCC 2009, 17-19 Mars 2009, Kuwait.
M. KAMMOUN, N. ELLOUZE, « Reconnaissance Automatique et Evaluation Subjective du Stress et des Styles de Parole de la Base SUSAS », présentée au 4rth International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, SETIT 2007, 25-29 Mars 2007, Hammamet, Tunisie.
M. KAMMOUN, N. ELLOUZE, « Pitch and Energy Contribution in Emotion and Speaking Styles Recognition Enhancement», présentée, The Multiconference on Computational Engineering in Systems Applications, CESA 2006, 04-06 October 2006, Beijing, China.
M. KAMMOUN, N. ELLOUZE, « A Human and Computer Comparative Evaluation of Stress and speaking styles in Speech » présentée au 13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006, September 2006, Budapest
M. KAMMOUN et N. ELLOUZE, « Optimal Features Combination in Speech Emotion and Speaking Styles Recognition », acceptée au 5th International Symposium in Communication Systems, Networks, and Digital Signal Processing, CSNDSP 2006, 19-21 Juillet 2006, Patras, Greece.
M.KAMMOUN, N. ELLOUZE, « Spectral Features Detection of Speech Emotion and Speaking Styles Recognition Based on HMM Classifier», acceptée au 5th WSEAS conference on Signal Processing SIP 06, 27-29 Mai, Istanbul, Turkey.
M. KAMMOUN, N. ELLOUZE, « Parameter Normalization and Energy Contribution in Emotion and Speaking Styles Recognition Based on HMM Classifier », acceptée au Quatrième Conférence Internationale, JTEA 2006, 12-14 Mai 2006, Tunisie.
M. KAMMOUN, N. ELLOUZE, « Classification methods of human emotion in speech », présentée au 17th IMACS world congress: Scientific Computation Applied Mathematics and Simulation, 11-15 Juillet 2005, Paris, France.
M. KAMMOUN, K. OUNI, A. BOUZID, N. ELLOUZE, « A Classification methodology of hearing-impaired pathologies based on DTW technique applied on vocal audiometry », 3rd International Workshop: Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2003, 10-12 Décembre 2003, Firenze, Italie.
M. KAMMOUN, K. OUNI, N. ELLOUZE, « Génération et interprétation des chemins de programmation dynamique appliqué à l’audiométrie vocale », Les Quatrièmes Journées Scientifiques, JS 2003, 21-22 Mai 2003, Borj El Amri, Tunisie.
