| Transformer based Grapheme-to-Phoneme Conversion S Yolchuyeva, G Németh, B Gyires-Tóth arXiv preprint arXiv:2004.06338, 2020 | 80 | 2020 |
| Grapheme-to-phoneme conversion with convolutional neural networks S Yolchuyeva, G Németh, B Gyires-Tóth Applied Sciences 9 (6), 1143, 2019 | 52 | 2019 |
| Speech-centric multimodal interaction for easy-to-access online services–A personal life assistant for the elderly A Teixeira, A Hämäläinen, J Avelar, N Almeida, G Németh, T Fegyó, ... Procedia computer science 27, 389-397, 2014 | 47 | 2014 |
| Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems G Hajgató, G Paál, B Gyires-Tóth Journal of Water Resources Planning and Management 146 (11), 04020079, 2020 | 43 | 2020 |
| Text normalization with convolutional neural networks S Yolchuyeva, G Németh, B Gyires-Tóth International Journal of Speech Technology 21 (3), 589-600, 2018 | 39 | 2018 |
| Robust reinforcement learning-based autonomous driving agent for simulation and real world P Almási, R Moni, B Gyires-Tóth 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 32 | 2020 |
| Self-Supervised Pretraining for 2D Medical Image Segmentation A Kalapos, B Gyires-Tóth arXiv preprint arXiv:2209.00314, 2022 | 31 | 2022 |
| Improvements of Hungarian hidden Markov model-based text-to-speech synthesis B Tóth, G Németh Acta Cybernetica 19 (4), 715-731, 2010 | 29 | 2010 |
| Reconstructing nodal pressures in water distribution systems with graph neural networks G Hajgató, B Gyires-Tóth, G Paál arXiv preprint arXiv:2104.13619, 2021 | 26 | 2021 |
| Deep learning for plant classification and content-based image retrieval BP Gyires-Tóth, M Osváth, D Papp, G Szűcs Cybernetics and Information Technologies 19 (1), 88-100, 2019 | 25 | 2019 |
| Synthesizing expressive speech from amateur audiobook recordings É Székely, TG Csapó, B Tóth, P Mihajlik, J Carson-Berndsen 2012 IEEE Spoken Language Technology Workshop (SLT), 297-302, 2012 | 21 | 2012 |
| Mobile devices converted into a speaking communication aid B Tóth, G Németh, G Kiss International Conference on Computers for Handicapped Persons, 1016-1023, 2004 | 21 | 2004 |
| Hidden-Markov-Model based speech synthesis in Hungarian B Tóth, G Németh J. Info-Communication 7, 30-34, 2008 | 20 | 2008 |
| PredMaX: Predictive maintenance with explainable deep convolutional autoencoders G Hajgató, R Wéber, B Szilágyi, B Tóthpál, B Gyires-Tóth, C Hős Advanced Engineering Informatics 54, 101778, 2022 | 15 | 2022 |
| Optimizing HMM Speech Synthesis for Low-Resource Devices B Tóth, G Németh Journal ref: Journal of Advanced Computational Intelligence and Intelligent …, 2012 | 14 | 2012 |
| Self-Attention Networks for Intent Detection S Yolchuyeva, G Németh, B Gyires-Tóth arXiv preprint arXiv:2006.15585, 2020 | 12 | 2020 |
| Challenges of creating multimodal interfaces on mobile devices B Toth, G Nemeth ELMAR, 2007, 171-174, 2007 | 11 | 2007 |
| Speech Generation in Mobile Phones G Németh, G Kiss, C Zainkó, G Olaszy, B Tóth Human Factors and Voice Interactive Systems, 163-191, 2008 | 9 | 2008 |
| Distance assessment and analysis of high-dimensional samples using variational autoencoders M Inacio, R Izbicki, B Gyires-Tóth Information Sciences 557, 407-420, 2021 | 8 | 2021 |
| Cross Platform Solution of Communication and Voice/Graphical User Interface for Mobile Devices in Vehicles G Németh, G Kiss, B Tóth Advances for In-Vehicle and Mobile Systems, 237-250, 2007 | 8 | 2007 |
Géza NémethDepartment of Telecommunications and Media Informatics, Budapest University of Technology and Economicsכתובת אימייל מאומתת בדומיין tmit.bme.hu