György Kovács
György Kovács
Postdoctoral researcher, Luleĺ University of Technology, EISLAB
Verified email at ltu.se
Title
Cited by
Cited by
Year
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
222017
Joint optimization of spectro-temporal features and Deep Neural Nets for robust automatic speech recognition
G Kovács, L Tóth
Acta Cybernetica 22 (1), 117-134, 2015
132015
Topical unit classification using deep neural nets and probabilistic sampling
G Kovács, T Grósz, T Váradi
2016 7th IEEE International Conference on Cognitive Infocommunications …, 2016
112016
Selection and enhancement of Gabor filters for automatic speech recognition
G Kovács, L Tóth, D Van Compernolle
International Journal of Speech Technology 18 (1), 1-16, 2015
112015
Új eredmények a mély neuronhálós magyar nyelvű beszédfelismerésben
T Grósz, G Kovács, L Tóth
Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2014
112014
The joint optimization of spectro-temporal features and neural net classifiers
G Kovács, L Tóth
International Conference on Text, Speech and Dialogue, 552-559, 2013
102013
Phone recognition experiments with 2D-DCT spectro-temporal features
G Kovács, L Tóth
2011 6th IEEE International Symposium on Applied Computational Intelligence …, 2011
102011
Subword Semantic Hashing for Intent Classification on Small Datasets
K Shridhar, A Dash, A Sahu, GG Pihlgren, P Alonso, V Pondenkandath, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019
82019
Localized spectro-temporal features for noise-robust speech recognition
G Kovács, L Tóth
2010 International Joint Conference on Computational Cybernetics and …, 2010
82010
A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models
L Tóth, G Kovács, D Van Compernolle
International Conference on Speech and Computer, 697-706, 2018
62018
Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks
I Szekrényes, G Kovács
International Conference on Speech and Computer, 233-243, 2017
62017
Robust multi-band ASR using Deep Neural Nets and spectro-temporal features
G Kovács, L Tóth, T Grósz
International Conference on Speech and Computer, 386-393, 2014
62014
Multi-band noise robust speech recognition using Deep Neural Networks
G Kovács, L Tóth
Proc. MSZNY, 287-294, 2016
42016
Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition
G Kovács, L Tóth, G Gosztolya
2018 IEEE Spoken Language Technology Workshop (SLT), 242-249, 2018
22018
Noise Robust Automatic Speech Recognition Based on Spectro-Temporal Techniques
G Kovács
Ph. D. dissertation, University of Szeged, 2018
22018
A különböző modalitások hozzájárulásának vizsgálata a témairányítás eseteinek osztályozásához a HuComTech korpuszon
G Kovács, T Váradi
Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2017
22017
TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data.
P Alonso, R Saini, G Kovács
FIRE (Working Notes), 293-299, 2019
12019
Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition.
G Kovács, L Tóth, D Van Compernolle, M Liwicki
Interspeech, 421-425, 2019
12019
Applying Neural Network Techniques for Topic Change Detection in the HuComTech Corpus
G Kovács, I Szekrényes
The Temporal Structure of Multimodal Communication, 147-162, 2020
2020
Author Profiling using Semantic and Syntactic Features.
G Kovács, V Balogh, P Mehta, K Shridhar, P Alonso, M Liwicki
CLEF (Working Notes), 2019
2019
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Articles 1–20