| 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 | 274 | 2018 |
| Identifying Mild Cognitive Impairment and mild Alzheimers 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 | 212 | 2019 |
| Automatic detection of mild cognitive impairment from spontaneous speech using ASR L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki, E Biró, F Zsura, ... Sixteenth Annual Conference of the International Speech Communication
, 2015 | 120 | 2015 |
| DNN-based Ultrasound-to-Speech Conversion for a Silent Speech Interface TG Csapó, T Grósz, G Gosztolya, L Tóth, A Markó Proc. Interspeech, Stockholm, Sweden, 3672-3676, 2017 | 77 | 2017 |
| Assessing the Degree of Nativeness and Parkinsons 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 | 59 | 2013 |
| Detecting mild cognitive impairment by exploiting linguistic information from transcripts V Vincze, G Gosztolya, L Tóth, I Hoffmann, G Szatlóczki Association for Computational Linguistics, 2016 | 50 | 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 | 49 | 2016 |
| Dnn-based feature extraction and classifier combination for child-directed speech, cold and snoring identification G Gosztolya, R Busa-Fekete, T Grósz, L Tóth Proc. Interspeech, Stockholm, Sweden, 3522-3526, 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 |
| Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds}} G Gosztolya Proc. Interspeech 2019, 2413-2417, 2019 | 40 | 2019 |
| 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 | 40 | 2018 |
| 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 | 36 | 2018 |
| Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks. G Gosztolya, T Grósz, R Busa-Fekete, L Tóth INTERSPEECH, 452-456, 2014 | 31 | 2014 |
| Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors JV Egas-López, G Kiss, D Sztahó, G Gosztolya ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and
, 2022 | 27 | 2022 |
| Replicator neural networks for outlier modeling in segmental speech recognition L Tóth, G Gosztolya International Symposium on Neural Networks, 996-1001, 2004 | 27 | 2004 |
| Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset G Gosztolya, A Beke, T Neuberger, L Tóth Archives of Acoustics 41 (4), 669-682, 2016 | 26 | 2016 |
| User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning MA Tündik, G Szaszák, G Gosztolya, A Beke Proc. Interspeech 2018, 2628-2632, 2018 | 23 | 2018 |
| Telltale silence: temporal speech parameters discriminate between prodromal dementia and mild Alzheimers disease V Vincze, G Szatlóczki, L Tóth, G Gosztolya, M Pákáski, I Hoffmann, ... Clinical Linguistics & Phonetics 35 (8), 727-742, 2021 | 22 | 2021 |
| Assessing Parkinsons Disease from Speech Using Fisher Vectors}} JVE López, JR Orozco-Arroyave, G Gosztolya Proc. Interspeech 2019, 3063-3067, 2019 | 21* | 2019 |
Laszlo TothUniversity of SzegedVerificēta e-pasta adrese: inf.u-szeged.hu
