Publications*

Joural articles

1. Alkawi, O., Qahwaji, R., Smith, C., & Mnasri, Z. (2025). Texture-Based Segmentation for Sand and Rock in Mars images. Advances in Space Research. https://doi.org/10.1016/j.asr.2025.05.034 

2. Zied Mnasri, (2023). Arabic-Character Historical Document Processing: Why and How To?. Archeologie Tra Oriente E Occidente, 1, 49-61. https://doi.org/10.6093/archeologie/9857

3. Zied Mnasri, Stefano Rovetta, Francesco Masulli (2022), A Novel Pitch Detection Algorithm Based on Instantaneous Frequency for Clean and Noisy Speech. in Circuits, Systems and Signal Processing 41, 6266–6294 . https://doi.org/10.1007/s00034-022-02082-8

4. Zied Mnasri, Stefano Rovetta, Francesco Masulli (2022), Anomalous sound event detection: A survey of machine learning based methods and applications in Multimedia Tools and Applications 81, 5537–5586. https://doi.org/10.1007/s11042-021-11817-9

5. Raja Abdelmalek, R., Zied Mnasri, Faouzi Benzarti (2022), Audio signal reconstruction using phase retrieval: Implementation and evaluation, in Multimedia Tools and Applications. https://doi.org/10.1007/s11042-022-12421-1    

6. Stefano Rovetta, Zied Mnasri, Francesco Masulli (2020),  Alberto Cabri, Emotion recognition from speech: an unsupervised learning approach, in International journal of computation intelligence systems DOI:10.2991/ijcis.d.201019.002

7. Imene Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet (2020), Duration modeling and evaluation for arabic statistical parametric speech synthesis, in Multimedia tools and applications journal Springer ,  DOI: 10.1007/s11042-020-09901-7

8. Ikbel Hadj Ali, Zied Mnasri, Zied Lachiri (2020), DNN-based grapheme-to-phoneme conversion for Arabic text-to-speech synthesis, in International journal of speech technology 23, 569–584 Springer, Cham . https://doi.org/10.1007/s10772-020-09750-7

9. Amal Houidhek, Vincent Colotte, Zied Mnasri, Denis Jouvet (2018), Evaluation of speech unit modelling for HMM-based speech synthesis system for Arabic, in International journal of speech technology, Springer, Cham . https://doi.org/10.1007/s10772-018-09558-6 

10. Raja Abdelmalek, Zied Mnasri, Faouzi Benzarti (2018), Determining the optimal conditions for signal reconstruction based on STFT magnitude, in International journal of speech technology, Springer, Cham . https://doi.org/10.1007/s10772-018-9522-9 

11. Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze (2011), F0 contour modeling using Neural Networks and Fujisaki parameters, in Signal Processing : an International Journal, Vol4, Issue 6, pp 351-368, . link

12. Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze (2010), Design and Development of a Prosody Generator for Arabic TTS Systems, in International Journal of Computer Applications, Vol 12, No 1, pp 24-31, . link

13. Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze (2009), Segmental duration modeling using non parametric statistical learning, in International Review of Computer and Software, Vol 4, No 5, pp 533-542, ISSN: 1828-6003 link

Chapters in books/edited book series

1. Zied Mnasri, Stefano Rovetta, Francesco Masulli, Alberto Cabri (2022), Dealing with Uncertainty in Anomalous Audio Event Detection Using Fuzzy Modeling, in: Jansen T., Jensen R., Mac Parthaláin N., Lin CM. (eds) Advances in Computational Intelligence Systems. UKCI 2021. Advances in Intelligent Systems and Computing, vol 1409. Springer, Cham. https://doi.org/10.1007/978-3-030-87094-2_44

2. Raja Abdelmalek, Zied Mnasri, (2020), Prosody-based speech synthesis by unit selection for Arabic, in Communication, Signal Processing & Information Technology. Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110594003-011

3. Stefano Rovetta, Zied Mnasri, Francesco Masulli (2021), Emotional Content Comparison in Speech Signal Using Feature Embedding, in Progresses in Artificial Intelligence and Neural Systems (pp. 45-55). Springer, Singapore, https://doi.org/10.1007/978-981-15-5093-5

4. Zied Mnasri, Stefano Rovetta, Francesco Masulli (2019), Feature Analysis for Emotional Content Comparison in Speech, in: Ju Z., Yang L., Yang C., Gegov A., Zhou D. (eds) Advances in Computational Intelligence Systems. UKCI 2019. Advances in Intelligent Systems and Computing, vol 1043. Springer, Cham. https://doi.org/10.1007/978-3-030-29933-0_41

5. Imene Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet (2019), F0 Modeling Using DNN for Arabic Parametric Speech Synthesis, in: Oneto L., Navarin N., Sperduti A., Anguita D. (eds) Recent Advances in Big Data and Deep Learning. INNS-BDDL 2019. Proceedings of the International Neural Networks Society, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-16841-4_20

6. Raja Abdelmalek, Zied Mnasri, Faouzi Benzarti (2018), Signal Reconstruction Based on the Relationship Between STFT Magnitude and Phase Spectra, in: Bouhlel M., Rovetta S. (eds) Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.2. SETIT 2018. Smart Innovation, Systems and Technologies, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-030-21009-0_3

7. Amal Houidhek, Vincent Colotte, Zied Mnasri, Denis Jouvet (2018), DNN-Based Speech Synthesis for Arabic: Modelling and Evaluation, in: Dutoit T., Martín-Vide C., Pironkov G. (eds) Statistical Language and Speech Processing. SLSP 2018. Lecture Notes in Computer Science, vol 11171. Springer, Cham. https://doi.org/10.1007/978-3-030-00810-9_2

8. Ikbel Hadj Ali, Zied Mnasri (2016), Statistical Analysis of the Prosodic Parameters of a Spontaneous Arabic Speech Corpus for Speech Synthesis, in: Král P., Martín-Vide C. (eds) Statistical Language and Speech Processing. SLSP 2016. Lecture Notes in Computer Science, vol 9918. Springer, Cham. https://doi.org/10.1007/978-3-319-45925-7_5 

Conference papers

1. Zied Mnasri, Jhony H. Giraldo and Thierry Bouwmans, "Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing," 2024 32nd European Signal Processing Conference (EUSIPCO), Lyon, France, 2024, pp. 161-165, doi: 10.23919/EUSIPCO63174.2024.10715291. 

2. Zied Mnasri, Andrea D'Andrea, Detection and classification of archaeological artifacts using deep learning, in Archaeologia Artificiale'2024, Siena, Italy, Oct 21-22

3. Bwanali, M., Ugail, H., Mnasri, Z., Jensen, E., & Omar, Z. (2024, September). On Handcrafted Machine Learning Features for Art Authentication. In 2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA) (pp. 1-6). IEEE. 

4. Zied Mnasri, Stefano Rovetta and Francesco Masulli, "Anomalous Sound Event Detection Based on One-Class Classification Using Variational Autoencoders and Interval Type-2 Fuzzy Sets," 2023 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, 2023, pp. 171-175, doi: 10.23919/EUSIPCO58844.2023.10290085. 

5. Paola Barra, Zied Mnasri, Danilo Greco, Multimodal emotion recognition from voice and video signals, in IEEE Eurocon 2023, Torino, Italy, 6-8 July, 2023. https://doi.org/10.1109/EUROCON56442.2023.10198928 

6. Raja Abdelmalek, Zied Mnasri, Faouzi Benzarti, Phase Retrieval: Application to Audio Signal Reconstruction, in 19th International Multi-Conference on Systems, Signals & Devices (SSD), Sétif, Algeria, 2022, pp. 21-30, https://doi.rog/10.1109/SSD54932.2022.9955795.

7. Stefano Rovetta, Zied Mnasri, Francesco Masulli and Alberto Cabri, Anomaly detection based on interval-valued fuzzy sets: Application to rare sound event detection, in 13th International Workshop of Fuzzy Logic WILF 2021, Vietri sul Mare, Italy, 20-22 Dec. 2021

8. Zied Mnasri, Stefano Rovetta and Francesco Masulli, A novel pitch detection algorithm based on instantaneous frequency, in 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 Aug, 2021 (Proceedings ISBN: 978-9-0827-9706-0)

9. Stefano Rovetta, Zied Mnasri, Francesco Masulli and Alberto Cabri, Audio Surveillance of Road Traffic: An Approach Based on Anomaly Detection and Interval Type-2 Fuzzy Sets, in 19th World Congress of the International Fuzzy Systems Association (IFSA), 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and 11th International Summer School on Aggregation Operators (AGOP), DOI: 10.2991/asum.k.210827.059

10. Raja Abdelmalek, Zied Mnasri and Faouzi Benzarti, On the Use of Spectrogram Inversion for Speech Enhancement, in 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021, pp. 852-857, doi: 10.1109/SSD52085.2021.9429339.

11. Stefano Rovetta, Zied Mnasri and Francesco Masulli, Detection of Hazardous Road Events From Audio Streams: An Ensemble Outlier Detection Approach in IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Bari, Italy, 2020, pp. 1-6, doi: 10.1109/EAIS48028.2020.9122704.

12. Zied Mnasri, Stefano Rovetta and Francesco Masulli, Audio surveillance of roads using deep learning and autoencoder-based sample weight initialization, in IEEE 20th Mediterranean Electrotechnical Conference (MELECON), Palermo, Italy, 2020, pp. 99-103, doi: 10.1109/MELECON48756.2020.9140594.

13. Stefano Rovetta, Zied Mnasri, Francesco Masulli, Alberto Cabri, Emotion recognition from speech signal using fuzzy clustering. In Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Atlantis Press. , September, 9-13, 2019, Prague, Czech republic, https://doi.org/10.2991/eusflat-19.2019.19

14. Ikbel Hadj Ali, Zied Mnasri, Zied Lachiri, Gemination prediction using DNN for Arabic text-to-speech synthesis, in 16th International Multi-Conference on Systems, Signals & Devices (SSD), 2019, pp. 366-370, doi: 10.1109/SSD.2019.8893275.

15. Ikbel Hadj Ali, Zied Mnasri, Zied Lachiri, Arabic character diacritization using DNN, in 9th conference on Experimental Linguistics, ExLing9, August 28-30, 2018, Paris, France, https://doi.org/10.36505/ExLing-2018/09/0011/000344

16. Imène Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet, Duration modeling using DNN for Arabic speech synthesis, in Speech Prosody (SP9), June, 10-13, 2018, Poznan, Poland, DOI: 10.21437/SpeechProsody.2018-121

17. Zied Mnasri, Hamid Amiri, On the relationship between instantaneous frequency and fundamental frequency in speech signal, in Electronic Speech Signal Processing (ESSV 2018), March 07-09, 2018, Ulm, Germany, http://essv2018.de/wp-content/uploads/2018/03/3_Mnasri_ESSV2018.pdf

18. Raja Abdelmalek, Zied Mnasri, Faouzi Benzarti, Optimal Conditions for Signal Reconstruction Based on STFT Magnitude Spectrum, in 15th International Multi-Conference on Systems, Signals & Devices (SSD), 2018, pp. 1084-1090, doi: 10.1109/SSD.2018.8570580.

19. Amal Houidhek, Vincent Colotte, Zied Mnasri, Denis Jouvet, Imene Zangar, Statistical modelling of speech units in HMM-based speech synthesis for Arabic, in 8th Language technology conference (LTC 2017), Nov 17-19, Poznan, Poland, https://hal.inria.fr/hal-01649034

20. Raja Abdelmalek, Zied Mnasri, High quality Arabic text-to-speech synthesis using unit selection, in 13th International Multi-Conference on Systems, Signals & Devices (SSD), 2016, pp. 1-5, doi: 10.1109/SSD.2016.7473681

21.  Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze, Prediction of syllabic duration using nonparametric regression for Arabic Text-to-speech synthesis, in IEEE conference on Sciences of Electronics, Technologies of Information and Telecommunications, March, 21-24, 2012, Sousse, Tunisia.

22. Z. Mnasri, F. Boukadida and N. Ellouze, "F0 contour parametric modeling using multivariate adaptive regression splines for arabic text-to-speech synthesis," Eighth International Multi-Conference on Systems, Signals & Devices, Sousse, Tunisia, 2011, pp. 1-6, doi: 10.1109/SSD.2011.5981479. 

Abstracts in workshops

1. Stefano Rovetta, Zied Mnasri, Alberto Cabri, Francesco Masulli, Fuzzy clustering for voice-based signal processing: Case of emotion and/or pathologic speech recognition, in GNCS Workshop, 13th International Workshop of Fuzzy Logic WILF 2021, Vietri sul Mare, Italy, 20-22 Dec. 2021

2. Stefano Rovetta, Zied Mnasri, Alberto Cabri, Francesco Masulli, Open challenges in speech emotion recognition, in Italian workshop on Machine Learning and Data Mining (MLDM'2020), Milano, Italy, 25-27 Novembre 2020 .

3. Stefano Rovetta, Zied Mnasri, Francesco Masulli, Alberto Cabri, Emotion detection from speech in dialog systems: advances and challenges, in Workshop on Affective shared perception (WASP’2020), Valparaiso, Chile, 30 October, 2020.

4. Zied Mnasri, Stefano Rovetta, Francesco Masulli, Emotion change detection in audio data streams using machine learning, in 25th annual international Cyber-Psychology, Cyber-Therapy & Social Networking Conference (CYPSY25), Milano, Italy, June, 2020.

5. Zied Mnasri, Andrea Brugnolo, Toward non-invasive Alzheimer disease diagnosis by voice analysis using machine learning, in First Industrial Conference on Artificial Intelligence and Health (ICAIH), Milano, Italy, 13-14 Nov 2019.

Monograms

1. Audio and Speech Processing: A computational Intelligence Approach, Habilitation (Post-doctoral) thesis, University of Tunis El Manar, Tunisia, 2023 (in English)

2. Design and development of a prosody modeling system based on neural networks : Application to speech synthesis, PhD Thesis, University of Tunis El Manar, 2011 (Original title in French: Conception et développement d'un modèle de la génération de la prosodie arabe par les réseaux de neurones: Application à la synthèse vocale)

3. Analysis/synthesis of Arabic speech signal using sinusoidal modeling and Overlap-and-Add (SIN-OLA), MSc. Thesis in Automatic control & Signal Processing, University of Tunis El Manar, Tunisia, 2004 (Original title in French: Synthèse de parole arabe par le modèle sinusoidal SIN-OLA)

4. Arabic speech synthesis using Time-Domain Pitch Synchronous Overlap-and-Add (TD-PSOLA), Graduation project for the National Diploma (BEng.) in Electrical Engineering, University of Tunis El Manar, Tunisia, 2003 (Original title in French: Synthèse de parole arabe par l'algorithme TD-PSOLA)

Lecture notes

1. Lectures and exercises in Artificial Intelligence, University of Bradford, UK, 2024 (in English)

2. Lezioni e esercizi in Digital Humaities (Lectures and exercises in Digital Humanities),  University of Naples L’Orientale, Italy, 2023 (in Italian)

3. Lezioni e esercizi in Abilità informatiche (Lectures and exercises in Computer Skills),  University of Naples L’Orientale, Italy, 2022 (in Italian)

4. Lectures and exercises in Speech Processing and Recognition, University of Genoa, Italy, 2020 (in English)

5. Cours et exercices en Electornique avancée (Lectures and exercises in Advanced Electronics), University of Tunis El Manar, Tunisia, 2017 (in French)

Lab manuals

1. Traitement Numérique du Signal (Digital Signal Processing), University of Tunis El Manar, Tunisia, 2016 (in French)

2. Electronique numérique (Digital Electronics), University of Tunis El Manar, Tunisia, 2015 (in French)

3. Microcontroleurs avancés (Advanced Microcontrollers), University of Tunis El Manar, Tunisia, 2014 (in French)

(*) Links and preprints

Links and preprints of the papers mentioned above are available at my Researchgate page