| LiRo: Benchmark and leaderboard for Romanian language tasks SD Dumitrescu, P Rebeja, B Lorincz, M Gaman, A Avram, M Ilie, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 30 | 2021 |
| Experience report on teaching testing through gamification B Lőrincz, B Iudean, A Vescan Proceedings of the 3rd International Workshop on Education through Advanced …, 2021 | 14 | 2021 |
| Deep learning for automatic diacritics restoration in Romanian M Nuţu, B Lőrincz, A Stan 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 13 | 2019 |
| Investigating the computational thinking ability of young school students across grade levels in two different types of Romanian educational institutions Z Katai, E Osztian, B Lorincz Journal of New Approaches in Educational Research 10 (2), 214-233, 2021 | 9 | 2021 |
| Concurrent phonetic transcription, lexical stress assignment and syllabification with deep neural networks B Lorincz Knowledge-Based and Intelligent Information & Engineering Systems …, 2020 | 9 | 2020 |
| RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information B Lőrincz, E Irimia, A Stan, VB Mititelu Natural Language Engineering 29 (3), 720-745, 2023 | 7 | 2023 |
| Generating the Voice of the Interactive Virtual Assistant A Stan, B Lőrincz Virtual Assistant, 2021 | 7 | 2021 |
| Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis B Lőrincz, A Stan, M Giurgiu 2021 29th European Signal Processing Conference (EUSIPCO), 26-30, 2021 | 6 | 2021 |
| Romanian Part of Speech Tagging using LSTM Networks B Lőrincz, M Nuţu, A Stan 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 5 | 2019 |
| The MARA corpus: Expressivity in end-to-end TTS systems using synthesised speech data A Stan, B Lőrincz, M Nuțu, M Giurgiu 2021 International Conference on Speech Technology and Human-Computer …, 2021 | 4 | 2021 |
| An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis B Lőrincz, A Stan, M Giurgiu Procedia Computer Science 192, 756-765, 2021 | 4 | 2021 |
| An evaluation of postfiltering for deep learning based speech synthesis with limited data B Lőorincz, M Nutu, A Stan, M Giurgiu 2020 IEEE 10th International Conference on Intelligent Systems (IS), 437-442, 2020 | 3 | 2020 |
| FlexLip: A Controllable Text-to-Lip System D Oneață, B Lőrincz, A Stan, H Cucu Sensors 22 (11), 4104, 2022 | 2 | 2022 |
| ROMANIAN QUESTION ANSWERING USING TRANSFORMER BASED NEURAL NETWORKS. D BOGDAN-ALEXANDRU, LL BEÁTA Studia Universitatis Babes-Bolyai, Informatica 67 (1), 2022 | 1 | 2022 |
| Contributions to neural speech synthesis using limited data enhanced with lexical features B Lorincz Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication, 83-85, 2021 | 1 | 2021 |
| Review of digital badges in computer science literature and applications I ZSIGMOND, B LŐRINCZ, AÉ MOLNÁR Studia Universitatis Babeș-Bolyai Informatica, 17-32, 2020 | 1 | 2020 |
Adriana STANProfessor, Technical University of Cluj-Napoca, RomaniaDirección de correo verificada de com.utcluj.ro
