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Gábor Kiss
Gábor Kiss
Budapest University of Economcs and Technology
在 vik.bme.hu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
512013
Mono-and multi-lingual depression prediction based on speech processing
G Kiss, K Vicsi
International Journal of Speech Technology 20, 919-935, 2017
492017
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
352017
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
352012
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
262021
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
262016
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
242015
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
232022
Computer based speech prosody teaching system
D Sztahó, G Kiss, K Vicsi
Computer speech & language 50, 126-140, 2018
232018
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
222014
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
192014
A computer-assisted prosody pronunciation teaching system.
D Sztahó, G Kiss, L Czap, K Vicsi
WOCCI, 45-49, 2014
192014
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
172018
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
112021
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
102022
Possibilities of recognizing depression with convolutional networks applied in correlation structure
AZ Jenei, G Kiss
2020 43rd international conference on telecommunications and signal …, 2020
82020
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
82019
Investigation of the accuracy of depression prediction based on speech processing
G Kiss, AZ Jenei
2020 43rd international conference on telecommunications and signal …, 2020
72020
Investigation of cross-lingual depression prediction possibilities based on speech processing
G Kiss, K Vicsi
2017 8th IEEE International Conference on Cognitive Infocommunications …, 2017
72017
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
62018
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