  | Tits, N., Bhatnagar, P., & Dutoit, T. (29 August 2024). Text-Independent Phone-to-Audio Alignment Leveraging SSL (TIPAA-SSL) Pre-Trained Model Latent Representation and Knowledge Transfer. Acoustics, 6 (3), 772–781. doi:10.3390/acoustics6030042  Peer Reviewed verified by ORBi |
 | Tits, N., & Broisson, Z. (2023). Flowchase: a Mobile Application for Pronunciation Training [Paper presentation]. 9th Workshop on Speech and Language Technology in Education, Dublin, Ireland. Peer reviewed |
 | Tits, N. (2023). MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp. 74-82). Association for Computational Linguistics. Peer reviewed |
 | Delvigne, V., Tits, N., La Fisca, L., Hubens, N., Maiorca, A., Wannous, H., Dutoit, T., & Vandeborre, J.-P. (March 2022). Where Is My Mind (Looking at)? A Study of the EEG–Visual Attention Relationship. Informatics, 9 (1), 26. doi:10.3390/informatics9010026 Peer Reviewed verified by ORBi |
 | Tits, N., El Haddad, K., & Dutoit, T. (2021). Analysis and Assessment of Controllability of an Expressive Deep Learning-Based TTS System. Informatics. Peer reviewed |
 | Tits, N., El Haddad, K., & Dutoit, T. (25 November 2021). Analysis and Assessment of Controllability of an Expressive Deep Learning-Based TTS System. mdpi informatics, 8 (4). doi:10.3390/informatics8040084 Peer reviewed |
 | Tits, N., El Haddad, K., & Dutoit, T. (01 May 2021). ICE-Talk 2: Interface for Controllable Expressive TTS with perceptual assessment tool. Software Impacts, 8 (100055). doi:10.1016/j.simpa.2021.100055 Peer reviewed |
 | Tits, N. (2020). Controlling the Emotional Expressiveness of Synthetic Speech - a Deep Learning Approach [Doctoral thesis, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/42349 |
 | Tits, N., El Haddad, K., & Dutoit, T. (2020). The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach. In Human 4.0 - From Biology to Cybernetic. IntechOpen. doi:10.5772/intechopen.89849 |
 | Delbrouck, J.-B., Tits, N., & Dupont, S. (2020). Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition. In NLP Beyond Text (NLPBT) - EMNLP 2020 (2020). -. Peer reviewed |
 | Tits, N., El Haddad, K., & Dutoit, T. (2020). Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning [Paper presentation]. Conference of the International Speech Communication Association, Shanghai, China. |
 | Tits, N., El Haddad, K., & Dutoit, T. (2020). ICE-Talk: an Interface for a Controllable Expressive Talking Machine [Paper presentation]. Conference of the International Speech Communication Association, Shanghai, China. |
 | Delbrouck, J.-B., Tits, N., Brousmiche, M., & Dupont, S. (2020). A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis. In Second Grand Challenge and Workshop on Multimodal Language - ACL 2020 (2020). -. doi:10.18653/v1/2020.challengehml-1.1 Peer reviewed |
 | Tits, N., El Haddad, K., & Dutoit, T. (2020). Neural Speech Synthesis with Style Intensity Interpolation: A Perceptual Analysis [Paper presentation]. IEEE/ACM International Conference on Human-Robot Interaction, Cambridge, United Kingdom. doi:10.1145/3371382.3378297 |
 | El Haddad, K., Tits, N., Velner, E., & Bohy, H. (2020). Cozmo4Resto: A Practical AI Application for Human-Robot Interaction [Paper presentation]. eNTERFACE Summer Workshop on Multimodal Interfaces, Ankara, Turkey. |
 | Tits, N. (2019). A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech - a Deep Learning approach [Paper presentation]. Affective Computing and Intelligent Interaction, Cambridge, United Kingdom. doi:10.1109/ACIIW.2019.8925241 |
 | Tits, N., Wang, F., El Haddad, K., Pagel, V., & Dutoit, T. (2019). Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis [Paper presentation]. Conference of the International Speech Communication Association, Graz, Austria. doi:10.21437/Interspeech.2019-1426 |
 | Tits, N., El Haddad, K., & Dutoit, T. (2019). Emotional Speech Datasets for English Speech Synthesis Purpose: A Review. In Intelligent Systems and Applications (pp. 61-66). Springer. |
 | Tits, N., El Haddad, K., & Dutoit, T. (2019). Exploring Transfer Learning for Low Resource Emotional TTS. In Intelligent Systems and Applications (pp. 52-60). Springer. doi:10.1007/978-3-030-29516-5_5 |
Adaeze, A., Tits, N., El Haddad, K., Sarah, O., & Dutoit, T. (15 October 2018). The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems [Paper presentation]. International Conference on Statistical Language and Speech Processing, Mons, Belgium. |
 | El Haddad, K., Tits, N., & Dutoit, T. (2018). Annotating Nonverbal Conversation Expressions in Interaction Datasets [Paper presentation]. Interdisciplinary Workshop on laughter and other non-verbal vocalisations in speech, Paris, France. |
 | Tits, N., El Haddad, K., & Dutoit, T. (2018). ASR-based Features for Emotion Recognition: A Transfer Learning Approach [Paper presentation]. Grand Challenge and Workshop on Human Multimodal Language, Melbourne, Australia. |
  | Tilmanne, J., D'alessandro, N., Barborka, P., Bayansar, F., Bernardo, F., Fiebrink, R., Héloir, A., Hemery, E., Laraba, S., Moinet, A., Nunnar, F., Ravet, T., Reboursière, L., Sarasúa, A., Tits, M., Tits, N., & Zajega, F. (2015). Prototyping a New Audio-Visual Instrument Based on Extraction of High-Level Features on Full-Body Motion [Paper presentation]. Proceedings of the 10th International Summer Workshop on Multimodal Interfaces - eNTERFACE'15, Mons, Belgium. |
