| A deep learning approach for speaker recognition S Hourri, J Kharroubi International Journal of Speech Technology 23 (1), 123-131, 2020 | 41 | 2020 |
| Convolutional neural network vectors for speaker recognition S Hourri, NS Nikolov, J Kharroubi International Journal of Speech Technology 24 (2), 389-400, 2021 | 23 | 2021 |
| A Novel Scoring Method Based on Distance Calculation for Similarity Measurement in Text-Independent Speaker Verification S Hourri, J Kharroubi Procedia Computer Science 148, 256-265, 2019 | 19 | 2019 |
| A deep learning approach to integrate convolutional neural networks in speaker recognition S Hourri, NS Nikolov, J Kharroubi International Journal of Speech Technology 23 (3), 615-623, 2020 | 18 | 2020 |
| An open and free speech corpus for speaker recognition: The fscsr speech corpus A Bouziane, H Kadi, S Hourri, J Kharroubi 2016 11th International Conference on Intelligent Systems: Theories and …, 2016 | 8 | 2016 |
| Bottlenecks in Nigeria's fresh food supply chain: What is the way forward? D Onwude, T Motmans, K Shoji, R Evangelista, J Gajardo, D Odion, ... Trends in Food Science & Technology, 2023 | 5 | 2023 |
| Étude des Techniques de Deep Learning en Reconnaissance Automatique du Locuteur S Hourri Université Sidi Mohamed ben Abdellah Fès (Maroc), 2021 | | 2021 |
| Étude des Techniques de Deep Learning en Reconnaissance Automatique du Locuteur.(Study of Deep Learning Techniques in Automatic Speaker Recognition). S Hourri Sidi Mohamed Ben Abdellah University, Fes, Morocco, 2021 | | 2021 |
| Etude des techniques de deep learning en reconnaissance automatique de locuteur H SOUFIANE | | 2017 |
| 2023 IEEE International Conference on Advances in Data-Driven Analytics and Intelligent Systems (ADACIS’2023) B Bougadir, L BELKACEM, A CHEKROUN, M Essalih, D Kanzari, ... | | |
Nikola S. NikolovAssociate Professor, Department of Computer Science and Information Systems, University of LimerickBestätigte E-Mail-Adresse bei ul.ie
