| A speech recognition-based solution for the automatic detection of mild cognitive impairment from spontaneous speech L Tóth, I Hoffmann, G Gosztolya, V Vincze, G Szatlóczki, Z Bánréti, ... Current Alzheimer Research 15 (2), 130-138, 2018 | 288 | 2018 |
| Identifying mild cognitive impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features G Gosztolya, V Vincze, L Tóth, M Pákáski, J Kálmán, I Hoffmann Computer Speech & Language 53, 181-197, 2019 | 217 | 2019 |
| Automatic detection of mild cognitive impairment from spontaneous speech using ASR L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki ISCA, 2015 | 121 | 2015 |
| Phone recognition with hierarchical convolutional deep maxout networks L Tóth EURASIP Journal on Audio, Speech, and Music Processing 2015, 1-13, 2015 | 118 | 2015 |
| Kernel-based feature extraction with a speech technology application A Kocsor, L Tóth IEEE Transactions on Signal Processing 52 (8), 2250-2263, 2004 | 115 | 2004 |
| Phone recognition with deep sparse rectifier neural networks L Tóth 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 112 | 2013 |
| Combining time-and frequency-domain convolution in convolutional neural network-based phone recognition L Tóth 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 111 | 2014 |
| 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 Sixteenth Annual Conference of the International Speech Communication …, 2015 | 64 | 2015 |
| Detecting autism, emotions and social signals using adaboost. G Gosztolya, R Busa-Fekete, L Tóth INTERSPEECH, 220-224, 2013 | 59 | 2013 |
| Detecting mild cognitive impairment by exploiting linguistic information from transcripts V Vincze, G Gosztolya, L Tóth, I Hoffmann, G Szatlóczki, Z Bánréti, ... Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 51 | 2016 |
| 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, ... szte, 2016 | 50 | 2016 |
| Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout G Kovács, L Tóth, D Van Compernolle, S Ganapathy Pattern Recognition Letters 100, 44-50, 2017 | 49 | 2017 |
| 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 |
| Convolutional deep maxout networks for phone recognition L Tóth Fifteenth Annual Conference of the International Speech Communication …, 2014 | 46 | 2014 |
| 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 |
| Cross-lingual Portability of MLP-Based Tandem Features--A Case Study for English and Hungarian L Tóth, J Frankel, G Gosztolya, S King | 45 | 2008 |
| 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, 3172-3176, 2018 | 41 | 2018 |
| On naive Bayes in speech recognition L Toth, A Kocsor, J Csirik Zielona Góra: Uniwersytet Zielonogórski, 2005 | 39 | 2005 |
| 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 |