| DNN-based ultrasound-to-speech conversion for a silent speech interface TG Csapó, T Grósz, G Gosztolya, L Tóth, A Markó International Speech Communication Association (ISCA), 2017 | 78 | 2017 |
| Assessing the degree of nativeness and Parkinson's condition using Gaussian processes and deep rectifier neural networks T Grósz, R Busa-Fekete, G Gosztolya, L Tóth Interspeech, 919-923, 2015 | 65 | 2015 |
| Deep learning in static, metric-based bug prediction R Ferenc, D Bán, T Grósz, T Gyimóthy Array 6, 100021, 2020 | 50 | 2020 |
| Detecting mild cognitive impairment from spontaneous speech by correlation-based phonetic feature selection G Gosztolya, L Tóth, T Grósz, V Vincze, I Hoffmann, G Szatlóczki, ... Interspeech, 107-111, 2016 | 50 | 2016 |
| A comparison of deep neural network training methods for large vocabulary speech recognition L Tóth, T Grósz Text, Speech, and Dialogue: 16th International Conference, TSD 2013, Pilsen …, 2013 | 49 | 2013 |
| DNN-based feature extraction and classifier combination for child-directed speech, cold and snoring identification G Gosztolya, R Busa-Fekete, T Grósz, L Tóth International Speech Communication Association (ISCA), 2017 | 45 | 2017 |
| Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces L Tóth, G Gosztolya, T Grósz, A Markó, TG Csapó Interspeech, 2018 | 41 | 2018 |
| Automatic segmentation of hyperreflective foci in OCT images L Varga, A Kovács, T Grósz, G Thury, F Hadarits, R Dégi, J Dombi Computer Methods and Programs in Biomedicine 178, 91-103, 2019 | 39 | 2019 |
| F0 estimation for DNN-based ultrasound silent speech interfaces T Grósz, G Gosztolya, L Tóth, TG Csapó, A Markó 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 38 | 2018 |
| wav2vec2-based Speech Rating System for Children with Speech Sound Disorder Y Getman, R Al-Ghezi, E Voskoboinik, T Grósz, M Kurimo, G Salvi, ... Proc. Interspeech 2022, 3618-3622, 2022 | 32 | 2022 |
| Detecting the intensity of cognitive and physical load using AdaBoost and Deep Rectifier Neural Networks G Gosztolya, T Grósz, R Busa-Fekete, L Tóth Fifteenth Annual Conference of the International Speech Communication …, 2014 | 31 | 2014 |
| Wav2vec2-based paralinguistic systems to recognise vocalised emotions and stuttering T Grósz, D Porjazovski, Y Getman, S Kadiri, M Kurimo Proceedings of the 30th ACM International Conference on Multimedia, 7026-7029, 2022 | 30 | 2022 |
| Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks A Moisio, D Porjazovski, A Rouhe, Y Getman, A Virkkunen, R AlGhezi, ... Language Resources and Evaluation 57 (3), 1295-1327, 2023 | 27 | 2023 |
| QR code localization using deep neural networks T Grósz, P Bodnár, L Tóth, LG Nyúl 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | 25 | 2014 |
| Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder TG Csapó, MS Al-Radhi, G Németh, G Gosztolya, T Grósz, L Tóth, ... Interspeech, 2019 | 24 | 2019 |
| Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces G Gosztolya, Á Pintér, L Tóth, T Grósz, A Markó, TG Csapó IJCNN, 2019 | 22 | 2019 |
| General utterance-level feature extraction for classifying crying sounds, atypical & self-assessed affect and heart beats G Gosztolya, T Grósz, L Tóth International Speech Communication Association (ISCA), 2018 | 21 | 2018 |
| Determining native language and deception using phonetic features and classifier combination G Gosztolya, T Grósz, R Busa-Fekete, L Tóth Interspeech, 2418-2422, 2016 | 18 | 2016 |
| Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying G Gosztolya, T Grósz, L Tóth, D Imseng 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 18 | 2015 |
| Efficient visual code localization with neural networks P Bodnár, T Grósz, L Tóth, LG Nyúl Pattern Analysis and Applications 21, 249-260, 2018 | 17 | 2018 |
Laszlo TothUniversity of Szeged確認したメール アドレス: inf.u-szeged.hu