TY  - JOUR
AU  - Suryakant, Tyagi
AU  - Szénási, Sándor
TI  - Optimizing Speech Emotion Recognition with Deep Learning and Grey Wolf Optimization: A Multi-Dataset Approach
JF  - ALGORITHMS
J2  - ALGORITHMS
VL  - 17
PY  - 2024
IS  - 3
PG  - 15
SN  - 1999-4893
DO  - 10.3390/a17030090
UR  - https://m2.mtmt.hu/api/publication/34789663
ID  - 34789663
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Kovács, András
AU  - Szénási, Sándor
AU  - Lovas, Róbert
ED  - IEEE, Publ.
TI  - Resource estimation for executing program codes using machine learning
T2  - IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics : SAMI 2024 : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350317206
PY  - 2024
SP  - 249
EP  - 252
PG  - 4
DO  - 10.1109/SAMI60510.2024.10432832
UR  - https://m2.mtmt.hu/api/publication/34543148
ID  - 34543148
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Suryakant, Tyagi
AU  - Szénási, Sándor
ED  - IEEE, Publ.
TI  - Exploring the Potential of Convolutional Neural Networks in Sequential Data Analysis: A Comparative Study with LSTMs and BiLSTMs
T2  - IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics : SAMI 2024 : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350317206
PY  - 2024
SP  - 243
EP  - 248
PG  - 6
DO  - 10.1109/SAMI60510.2024.10432861
UR  - https://m2.mtmt.hu/api/publication/34543059
ID  - 34543059
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Suryakant, Tyagi
AU  - Szénási, Sándor
TI  - Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review
JF  - MULTIMEDIA TOOLS AND APPLICATIONS: AN INTERNATIONAL JOURNAL
J2  - MULTIMED TOOLS APPL
PY  - 2023
SP  - 1
EP  - 30
PG  - 30
SN  - 1380-7501
DO  - 10.1007/s11042-023-17769-6
UR  - https://m2.mtmt.hu/api/publication/34444922
ID  - 34444922
AB  - Human cognitive functions such as perception, attention, learning, memory, reasoning, and problem-solving are all significantly influenced by emotion. Emotion has a particularly potent impact on attention, modifying its selectivity in particular and influencing behavior and action motivation. Artificial Emotional Intelligence (AEI) technologies enable computers to understand a user's emotional state and respond appropriately. These systems enable a realistic dialogue between people and machines. The current generation of adaptive user interference technologies is built on techniques from data analytics and machine learning (ML), namely deep learning (DL) artificial neural networks (ANN) from multimodal data, such as videos of facial expressions, stance, and gesture, voice, and bio-physiological data (such as eye movement, ECG, respiration, EEG, FMRT, EMG, eye tracking). In this study, we reviewed existing literature based on ML and data analytics techniques being used to detect emotions in speech. The efficacy of data analytics and ML techniques in this unique area of multimodal data processing and extracting emotions from speech. This study analyzes how emotional chatbots, facial expressions, images, and social media texts can be effective in detecting emotions. PRISMA methodology is used to review the existing survey. Support Vector Machines (SVM), Naïve Bayes (NB), Random Forests (RF), Recurrent Neural Networks (RNN), Logistic Regression (LR), etc., are commonly used ML techniques for emotion extraction purposes. This study provides a new taxonomy about the application of ML in SER. The result shows that Long-Short Term Memory (LSTM) and Convolutional Neural Networks (CNN) are found to be the most useful methodology for this purpose.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Mogyorósi, Péter
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Fuzzy-based Approach for Road Accident Risk Estimation on GPU
T2  - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350342956
T3  - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586
PY  - 2023
SP  - 415
EP  - 419
PG  - 5
UR  - https://m2.mtmt.hu/api/publication/34395056
ID  - 34395056
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Klopp, Bálint
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Simulation of Fluvial Erosion
T2  - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350342956
T3  - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586
PY  - 2023
SP  - 281
EP  - 284
PG  - 4
DO  - 10.1109/CINTI59972.2023.10381916
UR  - https://m2.mtmt.hu/api/publication/34391764
ID  - 34391764
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Polónyi, Richard William
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Bacteria Colony Simulation
T2  - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350342956
T3  - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586
PY  - 2023
SP  - 249
EP  - 253
PG  - 5
DO  - 10.1109/CINTI59972.2023.10381973
UR  - https://m2.mtmt.hu/api/publication/34377320
ID  - 34377320
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Suryakant, Tyagi
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Speech Emotion Recognition using AdaMax and Weighted Adam Optimizers
T2  - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350342956
T3  - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586
PY  - 2023
SP  - 177
EP  - 183
PG  - 7
DO  - 10.1109/CINTI59972.2023.10382013
UR  - https://m2.mtmt.hu/api/publication/34354098
ID  - 34354098
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Sipos, Miklós
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Lightweight Blockchain Simulation with Transaction Graph Visualizer
T2  - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings
PB  - IEEE
CY  - Danvers (MA)
SN  - 9798350342956
T3  - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586
PY  - 2023
SP  - 31
EP  - 36
PG  - 6
DO  - 10.1109/CINTI59972.2023.10382093
UR  - https://m2.mtmt.hu/api/publication/34343000
ID  - 34343000
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Suryakant, Tyagi
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Speech Emotion Recognition using Long Short-Term Memory Models and Grey Wolf Optimization
T2  - SISY 2023 IEEE 21st International Symposium on Intelligent Systems and Informatics
PB  - IEEE Hungary Section
CY  - Budapest
SN  - 9798350343366
PY  - 2023
SP  - 643
EP  - 648
PG  - 6
DO  - 10.1109/SISY60376.2023.10417879
UR  - https://m2.mtmt.hu/api/publication/34164420
ID  - 34164420
LA  - English
DB  - MTMT
ER  -