| Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features G Kiss, D Sztahó, K Vicsi 2013 IEEE 4th international conference on cognitive infocommunications …, 2013 | 50 | 2013 |
| Mono-and multi-lingual depression prediction based on speech processing G Kiss, K Vicsi International Journal of Speech Technology 20, 919-935, 2017 | 45 | 2017 |
| Comparison of read and spontaneous speech in case of automatic detection of depression G Kiss, K Vicsi 2017 8th IEEE International Conference on Cognitive Infocommunications …, 2017 | 34 | 2017 |
| Examination of the sensitivity of acoustic-phonetic parameters of speech to depression K Vicsi, D Sztahó, G Kiss 2012 IEEE 3rd International Conference on Cognitive Infocommunications …, 2012 | 32 | 2012 |
| Language independent detection possibilities of depression by speech G Kiss, MG Tulics, D Sztahó, A Esposito, K Vicsi Recent advances in nonlinear speech processing, 103-114, 2016 | 25 | 2016 |
| Estimating the severity of parkinson's disease from speech using linear regression and database partitioning. D Sztahó, G Kiss, K Vicsi INTERSPEECH, 498-502, 2015 | 24 | 2015 |
| Deep learning solution for pathological voice detection using LSTM-based autoencoder hybrid with multi-task learning KG Dávid Sztahó, TM Gábriel I14th International Joint Conference on Biomedical Engineering Systems and …, 2021 | 22 | 2021 |
| Physiological and cognitive status monitoring on the base of acoustic-phonetic speech parameters G Kiss, K Vicsi Statistical Language and Speech Processing: Second International Conference …, 2014 | 22 | 2014 |
| Computer based speech prosody teaching system D Sztahó, G Kiss, K Vicsi Computer Speech & Language 50, 126-140, 2018 | 20 | 2018 |
| 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 | 19 | 2022 |
| A computer-assisted prosody pronunciation teaching system. D Sztahó, G Kiss, L Czap, K Vicsi WOCCI, 45-49, 2014 | 19 | 2014 |
| Connection between body condition and speech parameters-especially in the case of hypoxia G Kiss, D Sztahó, K Vicsi, A Golemis 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 333-336, 2014 | 18 | 2014 |
| Detection Possibilities of Depression and Parkinson’s disease Based on the Ratio of Transient Parts of the Speech G Kiss, AB Takács, D Sztahó, K Vicsi 2018 9th IEEE International Conference on Cognitive Infocommunications …, 2018 | 15 | 2018 |
| Separation of several illnesses using correlation structures with convolutional neural networks AZ Jenei, G Kiss, MG Tulics, D Sztahó Acta Polytechnica Hungarica 18 (7), 47-66, 2021 | 10 | 2021 |
| Automatic discrimination of several types of speech pathologies D Sztahó, G Kiss, MG Tulics, B Hajduska-Dér, K Vicsi 2019 International Conference on Speech Technology and Human-Computer …, 2019 | 8 | 2019 |
| The applicability of the Beck Depression Inventory and Hamilton Depression Scale in the automatic recognition of depression based on speech signal processing B Hajduska-Dér, G Kiss, D Sztahó, K Vicsi, L Simon Frontiers in Psychiatry 13, 879896, 2022 | 7 | 2022 |
| Possibilities of recognizing depression with convolutional networks applied in correlation structure AZ Jenei, G Kiss 2020 43rd international conference on telecommunications and signal …, 2020 | 7 | 2020 |
| Investigation of the accuracy of depression prediction based on speech processing G Kiss, AZ Jenei 2020 43rd international conference on telecommunications and signal …, 2020 | 7 | 2020 |
| Investigation of cross-lingual depression prediction possibilities based on speech processing G Kiss, K Vicsi 2017 8th IEEE International Conference on Cognitive Infocommunications …, 2017 | 7 | 2017 |
| Automatic separation of various disease types by correlation structure of time shifted speech features D Sztahó, G Kiss, MG Tulics, K Vicsi 2018 41st International Conference on Telecommunications and Signal …, 2018 | 6 | 2018 |
Dávid SztahóBudapesti Műszaki és Gazdaságtudományi Egyetem, Távközlési és Médiainformatikai TanszékΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα vik.bme.hu
